Jure Leskovec

Orcid: 0000-0002-5411-923X

Affiliations:
  • Stanford University, USA


According to our database1, Jure Leskovec authored at least 374 papers between 2003 and 2024.

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Bibliography

2024
<i>f</i>-PO: Generalizing Preference Optimization with <i>f</i>-divergence Minimization.
CoRR, 2024

Energy-Based Diffusion Language Models for Text Generation.
CoRR, 2024

TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation.
CoRR, 2024

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.
CoRR, 2024

LLMs generate structurally realistic social networks but overestimate political homophily.
CoRR, 2024

RelBench: A Benchmark for Deep Learning on Relational Databases.
CoRR, 2024

Learning production functions for supply chains with graph neural networks.
CoRR, 2024

Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization.
CoRR, 2024

AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval.
CoRR, 2024

Countrywide natural experiment reveals impact of built environment on physical activity.
CoRR, 2024

Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs.
CoRR, 2024

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments.
CoRR, 2024

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases.
CoRR, 2024

From Similarity to Superiority: Channel Clustering for Time Series Forecasting.
CoRR, 2024

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning.
CoRR, 2024

Representation Learning for Frequent Subgraph Mining.
CoRR, 2024

TimeGraphs: Graph-based Temporal Reasoning.
CoRR, 2024

Equivariant Graph Neural Operator for Modeling 3D Dynamics.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Relational Deep Learning - Graph Representation Learning on Relational Databases.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large Language Models as Analogical Reasoners.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Compositional Generative Inverse Design.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Context-Aware Meta-Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN.
Dataset, December, 2023

Hybrid forecasting of geopolitical events<sup>†</sup>.
AI Mag., March, 2023

M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion.
IEEE Trans. Multim., 2023

Scientific discovery in the age of artificial intelligence.
Nat., 2023

Human mobility networks reveal increased segregation in large cities.
Nat., 2023

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.
J. Biomed. Informatics, 2023

GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts.
CoRR, 2023

Relational Deep Learning: Graph Representation Learning on Relational Databases.
CoRR, 2023

In-Context Learning for Few-Shot Molecular Property Prediction.
CoRR, 2023

Benchmarking Large Language Models As AI Research Agents.
CoRR, 2023

Communication-Free Distributed GNN Training with Vertex Cut.
CoRR, 2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs.
CoRR, 2023

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR, 2023

Enabling tabular deep learning when d ≫ n with an auxiliary knowledge graph.
CoRR, 2023

Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases.
CoRR, 2023

Harnessing Simulation for Molecular Embeddings.
CoRR, 2023

Databases as Graphs: Predictive Queries for Declarative Machine Learning.
Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2023

High dimensional, tabular deep learning with an auxiliary knowledge graph.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Zero-shot causal learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Holistic Evaluation of Text-to-Image Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PRODIGY: Enabling In-context Learning Over Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Temporal Graph Benchmark for Machine Learning on Temporal Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Large Graph Property Prediction via Graph Segment Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Med-Flamingo: a Multimodal Medical Few-shot Learner.
Proceedings of the Machine Learning for Health, 2023

Graph and Geometry Generative Modeling for Drug Discovery.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Retrieval-Augmented Multimodal Language Modeling.
Proceedings of the International Conference on Machine Learning, 2023

Geometric Latent Diffusion Models for 3D Molecule Generation.
Proceedings of the International Conference on Machine Learning, 2023

Learning Controllable Adaptive Simulation for Multi-resolution Physics.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Combining Graph Convolutional Neural Networks and Label Propagation.
ACM Trans. Inf. Syst., 2022

MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest.
Proc. VLDB Endow., 2022

Guest Editorial: Non-Euclidean Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data.
CoRR, 2022

TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks.
CoRR, 2022

Efficient Automatic Machine Learning via Design Graphs.
CoRR, 2022

Human interaction networks reveal that large cities facilitate segregation.
CoRR, 2022

ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy.
CoRR, 2022

VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering.
CoRR, 2022

AdaGrid: Adaptive Grid Search for Link Prediction Training Objective.
CoRR, 2022

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering.
CoRR, 2022

Analytical Models for Motifs in Temporal Networks.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Deep Bidirectional Language-Knowledge Graph Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Accelerate Partial Differential Equations via Latent Global Evolution.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Few-shot Relational Reasoning via Connection Subgraph Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Graph Search Heuristics.
Proceedings of the Learning on Graphs Conference, 2022

ROLAND: Graph Learning Framework for Dynamic Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

PinnerFormer: Sequence Modeling for User Representation at Pinterest.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Backward Compatible Embeddings.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Extending the WILDS Benchmark for Unsupervised Adaptation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Relational Multi-Task Learning: Modeling Relations between Data and Tasks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Open-World Semi-Supervised Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

GreaseLM: Graph REASoning Enhanced Language Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

LinkBERT: Pretraining Language Models with Document Links.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Report on the 30th the web conference 2021 (TheWebConf2021).
SIGIR Forum, 2021

Postmortem memory of public figures in news and social media.
Proc. Natl. Acad. Sci. USA, 2021

Mobility network models of COVID-19 explain inequities and inform reopening.
Nat., 2021

Companies under stress: the impact of shocks on the production network.
EPJ Data Sci., 2021

Analytical Models for Motifs in Temporal Networks: Discovering Trends and Anomalies.
CoRR, 2021

Post-mortem memory of public figures in news and social media.
CoRR, 2021

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations.
CoRR, 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics.
CoRR, 2021

Model-Agnostic Graph Regularization for Few-Shot Learning.
CoRR, 2021

Driver2vec: Driver Identification from Automotive Data.
CoRR, 2021

TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams.
Proceedings of the WSDM '21, 2021

Combiner: Full Attention Transformer with Sparse Computation Cost.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Neural Distance Embeddings for Biological Sequences.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Bipartite Dynamic Representations for Abuse Detection.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Relational Message Passing for Knowledge Graph Completion.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Inductive Learning on Commonsense Knowledge Graph Completion.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-hop Attention Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Deception Detection in Group Video Conversations using Dynamic Interaction Networks.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs.
Proceedings of the 38th International Conference on Machine Learning, 2021


GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings.
Proceedings of the 38th International Conference on Machine Learning, 2021

Language-Agnostic Representation Learning of Source Code from Structure and Context.
Proceedings of the 9th International Conference on Learning Representations, 2021

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Concept Learners for Few-Shot Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

LM-Critic: Language Models for Unsupervised Grammatical Error Correction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Identity-aware Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts.
CoRR, 2020

Coresets for Robust Training of Neural Networks against Noisy Labels.
CoRR, 2020

Direct Multi-hop Attention based Graph Neural Network.
CoRR, 2020

Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning.
CoRR, 2020

Concept Learners for Generalizable Few-Shot Learning.
CoRR, 2020

Neural Subgraph Matching.
CoRR, 2020

Improving Query Safety at Pinterest.
CoRR, 2020

Entity Context and Relational Paths for Knowledge Graph Completion.
CoRR, 2020

Unifying Graph Convolutional Neural Networks and Label Propagation.
CoRR, 2020

Expanding Taxonomies with Implicit Edge Semantics.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Design Space for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Handling Missing Data with Graph Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graph Information Bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Coresets for Robust Training of Deep Neural Networks against Noisy Labels.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Open Graph Benchmark: Datasets for Machine Learning on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Redundancy-Free Computation for Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Graph Structure of Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Simulate Complex Physics with Graph Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Coresets for Data-efficient Training of Machine Learning Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings.
Proceedings of the 8th International Conference on Learning Representations, 2020

Strategies for Pre-training Graph Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Selection via Proxy: Efficient Data Selection for Deep Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
SIGKDD Impact Program 2018.
SIGKDD Explor., 2019

Best practices for analyzing large-scale health data from wearables and smartphone apps.
npj Digit. Medicine, 2019

Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities.
Inf. Fusion, 2019

Improving Graph Attention Networks with Large Margin-based Constraints.
CoRR, 2019

Redundancy-Free Computation Graphs for Graph Neural Networks.
CoRR, 2019

Data Sketching for Faster Training of Machine Learning Models.
CoRR, 2019

Pre-training Graph Neural Networks.
CoRR, 2019

Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization.
CoRR, 2019

GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks.
CoRR, 2019

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems.
Proceedings of the World Wide Web Conference, 2019

The First International Workshop on Knowledge Graph Technology and Applications.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Predicting pregnancy using large-scale datafrom a women's health tracking mobile application.
Proceedings of the World Wide Web Conference, 2019

Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal.
Proceedings of the World Wide Web Conference, 2019

Panel: Computational Methods about Knowledge Graph.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

The Local Closure Coefficient: A New Perspective On Network Clustering.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

G2SAT: Learning to Generate SAT Formulas.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

GNNExplainer: Generating Explanations for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Hyperbolic Graph Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019


Predicting the Visual Focus of Attention in Multi-Person Discussion Videos.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Predicting dominance in multi-person videos.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Position-aware Graph Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

How Powerful are Graph Neural Networks?
Proceedings of the 7th International Conference on Learning Representations, 2019

Complete the Look: Scene-Based Complementary Product Recommendation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Categorizing User Sessions at Pinterest.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

Inferring Multidimensional Rates of Aging from Cross-Sectional Data.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Faithful and Customizable Explanations of Black Box Models.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Learning Dynamic Embeddings from Temporal Interactions.
CoRR, 2018

Predicting pregnancy using large-scale data from a women's health tracking mobile application.
CoRR, 2018

Offline Behaviors of Online Friends.
CoRR, 2018

CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data.
CoRR, 2018

Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data.
CoRR, 2018

Querying Complex Networks in Vector Space.
CoRR, 2018

Network Enhancement: a general method to denoise weighted biological networks.
CoRR, 2018

Prioritizing network communities.
CoRR, 2018

GraphRNN: A Deep Generative Model for Graphs.
CoRR, 2018

Modeling polypharmacy side effects with graph convolutional networks.
Bioinform., 2018

The Shifting Landscape of Web Search and Mining: Past, Present, and Future.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Modeling Individual Cyclic Variation in Human Behavior.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Modeling Interdependent and Periodic Real-World Action Sequences.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Community Interaction and Conflict on the Web.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Welcome on Behalf of the Wiki Workshop Chairs & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

MIS2: Misinformation and Misbehavior Mining on the Web.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Large-scale analysis of disease pathways in the human interactome.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hierarchical Graph Representation Learning with Differentiable Pooling.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Embedding Logical Queries on Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dynamic Network Model from Partial Observations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Graph Convolutional Neural Networks for Web-Scale Recommender Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning Structural Node Embeddings via Diffusion Wavelets.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Do Diffusion Protocols Govern Cascade Growth?
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
SnapVX: A Network-Based Convex Optimization Solver.
J. Mach. Learn. Res., 2017

Inferring Person-to-person Proximity Using WiFi Signals.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Representation Learning on Graphs: Methods and Applications.
IEEE Data Eng. Bull., 2017

Spectral Graph Wavelets for Structural Role Similarity in Networks.
CoRR, 2017

Higher-order clustering in networks.
CoRR, 2017

Interpretable & Explorable Approximations of Black Box Models.
CoRR, 2017

Categorizing User Sessions at Pinterest.
CoRR, 2017

Predicting multicellular function through multi-layer tissue networks.
Bioinform., 2017

Why We Read Wikipedia.
Proceedings of the 26th International Conference on World Wide Web, 2017

How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Understanding Online Collection Growth Over Time: A Case Study of Pinterest.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

An Army of Me: Sockpuppets in Online Discussion Communities.
Proceedings of the 26th International Conference on World Wide Web, 2017

Antisocial Behavior on the Web: Characterization and Detection.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Predicting Intent Using Activity Logs: How Goal Specificity and Temporal Range Affect User Behavior.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Motifs in Temporal Networks.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Inductive Representation Learning on Large Graphs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Local Higher-Order Graph Clustering.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Network Inference via the Time-Varying Graphical Lasso.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Community Identity and User Engagement in a Multi-Community Landscape.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Loyalty in Online Communities.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

Modeling Affinity based Popularity Dynamics.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Large-scale graph representation learning.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014.
ACM Trans. Knowl. Discov. Data, 2016

SNAP: A General-Purpose Network Analysis and Graph-Mining Library.
ACM Trans. Intell. Syst. Technol., 2016

Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health.
Trans. Assoc. Comput. Linguistics, 2016

Psycho-Demographic Analysis of the Facebook Rainbow Campaign.
CoRR, 2016

Higher-order organization of complex networks.
CoRR, 2016

Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations.
CoRR, 2016

Growing Wikipedia Across Languages via Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes.
Proceedings of the 25th International Conference on World Wide Web, 2016

Do Cascades Recur?
Proceedings of the 25th International Conference on World Wide Web, 2016

Improving Website Hyperlink Structure Using Server Logs.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Seeing the forest for the trees: new approaches to forecasting cascades.
Proceedings of the 8th ACM Conference on Web Science, 2016

Beyond nodes and edges: multiresolution algorithms for network data.
Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics, 2016

Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Interpretable Decision Sets: A Joint Framework for Description and Prediction.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

node2vec: Scalable Feature Learning for Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Driver identification using automobile sensor data from a single turn.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Learning Linguistic Descriptors of User Roles in Online Communities.
Proceedings of the First Workshop on NLP and Computational Social Science, 2016

2015
Defining and evaluating network communities based on ground-truth.
Knowl. Inf. Syst., 2015

The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility.
J. Am. Medical Informatics Assoc., 2015

SnapVX: A Network-Based Convex Optimization Solver.
CoRR, 2015

Information cartography.
Commun. ACM, 2015

Large Scale Network Analytics with SNAP: Tutorial at the World Wide Web 2015 Conference.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns.
Proceedings of the 24th International Conference on World Wide Web, 2015

Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily.
Proceedings of the 24th International Conference on World Wide Web, 2015

Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org.
Proceedings of the 24th International Conference on World Wide Web, 2015

Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia.
Proceedings of the 24th International Conference on World Wide Web, 2015

New Directions in Recommender Systems.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Ringo: Interactive Graph Analytics on Big-Memory Machines.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

A Bayesian Framework for Modeling Human Evaluations.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Tensor Spectral Clustering for Partitioning Higher-order Network Structures.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Inferring Networks of Substitutable and Complementary Products.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Network Lasso: Clustering and Optimization in Large Graphs.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Antisocial Behavior in Online Discussion Communities.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

2014
Discovering social circles in ego networks.
ACM Trans. Knowl. Discov. Data, 2014

Structure and Overlaps of Ground-Truth Communities in Networks.
ACM Trans. Intell. Syst. Technol., 2014

Geospatial Structure of a Planetary-Scale Social Network.
IEEE Trans. Comput. Soc. Syst., 2014

Exploiting Social Network Structure for Person-to-Person Sentiment Analysis.
Trans. Assoc. Comput. Linguistics, 2014

Overlapping Communities Explain Core-Periphery Organization of Networks.
Proc. IEEE, 2014

Uncovering the structure and temporal dynamics of information propagation.
Netw. Sci., 2014

Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks.
CoRR, 2014

Visualizing information networks: the 2011 Fukushima earthquake.
AI Matters, 2014

Finding progression stages in time-evolving event sequences.
Proceedings of the 23rd International World Wide Web Conference, 2014

The bursty dynamics of the Twitter information network.
Proceedings of the 23rd International World Wide Web Conference, 2014

Can cascades be predicted?
Proceedings of the 23rd International World Wide Web Conference, 2014

Status and friendship: mechanisms of social network evolution.
Proceedings of the 23rd International World Wide Web Conference, 2014

Engaging with massive online courses.
Proceedings of the 23rd International World Wide Web Conference, 2014

Detecting cohesive and 2-mode communities indirected and undirected networks.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

The last click: why users give up information network navigation.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

How Community Feedback Shapes User Behavior.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Mining of Massive Datasets, 2nd Ed.
Cambridge University Press, ISBN: 978-1107077232, 2014

2013
NIFTY: a system for large scale information flow tracking and clustering.
Proceedings of the 22nd International World Wide Web Conference, 2013

From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews.
Proceedings of the 22nd International World Wide Web Conference, 2013

How status and reputation shape human evaluations: consequences for recommender systems.
Proceedings of the 22nd International World Wide Web Conference, 2013

No country for old members: user lifecycle and linguistic change in online communities.
Proceedings of the 22nd International World Wide Web Conference, 2013

Steering user behavior with badges.
Proceedings of the 22nd International World Wide Web Conference, 2013

Overlapping community detection at scale: a nonnegative matrix factorization approach.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Structure and dynamics of information pathways in online media.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Hidden factors and hidden topics: understanding rating dimensions with review text.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Nonparametric Multi-group Membership Model for Dynamic Networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Information cartography: creating zoomable, large-scale maps of information.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Modeling Information Propagation with Survival Theory.
Proceedings of the 30th International Conference on Machine Learning, 2013

Community Detection in Networks with Node Attributes.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Channeling the deluge: research challenges for big data and information systems.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

A computational approach to politeness with application to social factors.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Inferring Networks of Diffusion and Influence.
ACM Trans. Knowl. Discov. Data, 2012

Measurement error in network data: A re-classification.
Soc. Networks, 2012

Multiplicative Attribute Graph Model of Real-World Networks.
Internet Math., 2012

Structure and Overlaps of Communities in Networks
CoRR, 2012

Human wayfinding in information networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

The life and death of online groups: predicting group growth and longevity.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Effects of user similarity in social media.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Learning to Discover Social Circles in Ego Networks.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Information diffusion and external influence in networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Discovering value from community activity on focused question answering sites: a case study of stack overflow.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Automatic Versus Human Navigation in Information Networks.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Latent Multi-group Membership Graph Model.
Proceedings of the 29th International Conference on Machine Learning, 2012

Community-Affiliation Graph Model for Overlapping Network Community Detection.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Clash of the Contagions: Cooperation and Competition in Information Diffusion.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Learning Attitudes and Attributes from Multi-aspect Reviews.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Human navigation in networks.
Proceedings of the 23rd ACM Conference on Hypertext and Social Media, 2012

Image Labeling on a Network: Using Social-Network Metadata for Image Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
HADI: Mining Radii of Large Graphs.
ACM Trans. Knowl. Discov. Data, 2011

Social media analytics: tracking, modeling and predicting the flow of information through networks.
Proceedings of the 20th International Conference on World Wide Web, 2011

Dynamics of bidding in a P2P lending service: effects of herding and predicting loan success.
Proceedings of the 20th International Conference on World Wide Web, 2011

Social media: source of information or bunch of noise.
Proceedings of the 20th International Conference on World Wide Web, 2011

Patterns of temporal variation in online media.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Correcting for missing data in information cascades.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Supervised random walks: predicting and recommending links in social networks.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model.
Proceedings of the UAI 2011, 2011

The role of social networks in online shopping: information passing, price of trust, and consumer choice.
Proceedings of the Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), 2011

The Network Completion Problem: Inferring Missing Nodes and Edges in Networks.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Friendship and mobility: user movement in location-based social networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Sentiment Flow Through Hyperlink Networks.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Kronecker Graphs.
Proceedings of the Graph Algorithms in the Language of Linear Algebra, 2011

2010
Kronecker Graphs: An Approach to Modeling Networks.
J. Mach. Learn. Res., 2010

Empirical comparison of algorithms for network community detection.
Proceedings of the 19th International Conference on World Wide Web, 2010

Predicting positive and negative links in online social networks.
Proceedings of the 19th International Conference on World Wide Web, 2010

Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations.
Proceedings of the SIAM International Conference on Data Mining, 2010

On the Convexity of Latent Social Network Inference.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Citing for high impact.
Proceedings of the 2010 Joint International Conference on Digital Libraries, 2010

Governance in Social Media: A Case Study of the Wikipedia Promotion Process.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Modeling Information Diffusion in Implicit Networks.
Proceedings of the ICDM 2010, 2010

Signed networks in social media.
Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

2009
Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters.
Internet Math., 2009

ShatterPlots: Fast Tools for Mining Large Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2009

Meme-tracking and the dynamics of the news cycle.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Modeling Blog Dynamics.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Tutorial summary: Large social and information networks: opportunities for ML.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Networks, communities and kronecker products.
Proceedings of the Proceeding of the ACM First International Workshop on Complex Networks Meet Information & Knowledge Management, 2009

2008
Epidemic thresholds in real networks.
ACM Trans. Inf. Syst. Secur., 2008

Statistical properties of community structure in large social and information networks.
Proceedings of the 17th International Conference on World Wide Web, 2008

Planetary-scale views on a large instant-messaging network.
Proceedings of the 17th International Conference on World Wide Web, 2008

Mobile call graphs: beyond power-law and lognormal distributions.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Microscopic evolution of social networks.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Social networks: looking ahead.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Monitoring Network Evolution using MDL.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
The dynamics of viral marketing.
ACM Trans. Web, 2007

Graph evolution: Densification and shrinking diameters.
ACM Trans. Knowl. Discov. Data, 2007

Web projections: learning from contextual subgraphs of the web.
Proceedings of the 16th International Conference on World Wide Web, 2007

Patterns of Cascading Behavior in Large Blog Graphs.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Diffusion and Cascading Behavior in Networks.
Proceedings of the Mining Massive Data Sets for Security, 2007

Cost-effective outbreak detection in networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Information Survival Threshold in Sensor and P2P Networks.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Finding patterns in blog shapes and blog evolution.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

Scalable modeling of real graphs using Kronecker multiplication.
Proceedings of the Machine Learning, 2007

2006
GMine: A System for Scalable, Interactive Graph Visualization and Mining.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Patterns of Influence in a Recommendation Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Sampling from large graphs.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Data association for topic intensity tracking.
Proceedings of the Machine Learning, 2006

2005
Modeling Link Qualities in a Sensor Network.
Informatica (Slovenia), 2005

Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Graphs over time: densification laws, shrinking diameters and possible explanations.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Impact of Linguistic Analysis on the Semantic Graph Coverage and Learning of Document Extracts.
Proceedings of the Proceedings, 2005

2003
The Download Estimation task on KDD Cup 2003.
SIGKDD Explor., 2003

Linear Programming Boosting for Uneven Datasets.
Proceedings of the Machine Learning, 2003


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