Ryan A. Rossi

Orcid: 0000-0001-9758-0635

According to our database1, Ryan A. Rossi authored at least 256 papers between 1989 and 2024.

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Bibliography

2024
Fairness-Aware Graph Neural Networks: A Survey.
ACM Trans. Knowl. Discov. Data, July, 2024

Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback.
IEEE Trans. Vis. Comput. Graph., January, 2024

Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization.
IEEE Trans. Vis. Comput. Graph., January, 2024

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model.
J. Mach. Learn. Res., 2024

DynaSaur: Large Language Agents Beyond Predefined Actions.
CoRR, 2024

LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding.
CoRR, 2024

GRS-QA - Graph Reasoning-Structured Question Answering Dataset.
CoRR, 2024

Personalization of Large Language Models: A Survey.
CoRR, 2024

Survey of User Interface Design and Interaction Techniques in Generative AI Applications.
CoRR, 2024

A Survey of Small Language Models.
CoRR, 2024

Taipan: Efficient and Expressive State Space Language Models with Selective Attention.
CoRR, 2024

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
CoRR, 2024

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval.
CoRR, 2024

Federated Large Language Models: Current Progress and Future Directions.
CoRR, 2024

Visual Prompting in Multimodal Large Language Models: A Survey.
CoRR, 2024

A Multi-LLM Debiasing Framework.
CoRR, 2024

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering.
CoRR, 2024

X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation.
CoRR, 2024

MMR: Evaluating Reading Ability of Large Multimodal Models.
CoRR, 2024

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback.
CoRR, 2024

KaPQA: Knowledge-Augmented Product Question-Answering.
CoRR, 2024

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models.
CoRR, 2024

LongLaMP: A Benchmark for Personalized Long-form Text Generation.
CoRR, 2024

Causal Discovery-Driven Change Point Detection in Time Series.
CoRR, 2024

Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data.
CoRR, 2024

Large Generative Graph Models.
CoRR, 2024

Augmenting Textual Generation via Topology Aware Retrieval.
CoRR, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.
CoRR, 2024

Interaction Techniques for Exploratory Data Visualization on Mobile Devices.
CoRR, 2024

Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models.
CoRR, 2024

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.
CoRR, 2024

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
CoRR, 2024

Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
Proceedings of the ACM on Web Conference 2024, 2024

Tackling Long-Tail Entities for Temporal Knowledge Graph Completion.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

"The Data Says Otherwise" - Towards Automated Fact-checking and Communication of Data Claims.
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

ScaleViz: Scaling Visualization Recommendation Models on Large Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Hallucination Diversity-Aware Active Learning for Text Summarization.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Continuous Treatment Effects with Surrogate Outcomes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Editing Partially Observable Networks via Graph Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Forward Learning of Graph Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PDFTriage: Question Answering over Long, Structured Documents.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis?
Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Topology-aware Retrieval Augmentation for Text Generation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Data Quality-aware Graph Machine Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Exploring Interactive Color Palettes for Abstraction-Driven Exploratory Image Colorization.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Thinking Outside the Box: Non-Designer Perspectives and Recommendations for Template-Based Graphic Design Tools.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Knowledge Graph Prompting for Multi-Document Question Answering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph Deep Factors for Probabilistic Time-series Forecasting.
ACM Trans. Knowl. Discov. Data, February, 2023

Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots.
IEEE Trans. Vis. Comput. Graph., 2023

Leveraging Graph Diffusion Models for Network Refinement Tasks.
CoRR, 2023

PDFTriage: Question Answering over Long, Structured Documents.
CoRR, 2023

Bias and Fairness in Large Language Models: A Survey.
CoRR, 2023

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback.
CoRR, 2023

On Graph Time-Series Representations for Temporal Networks.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

SpotLight: Visual Insight Recommendation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

A ML-based Approach for HTML-based Style Recommendation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

TaleStream: Supporting Story Ideation with Trope Knowledge.
Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal Discovery in Semi-Stationary Time Series.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Active Context Modeling for Efficient Image and Burst Compression.
Proceedings of the IEEE International Symposium on Multimedia, 2023

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.
Proceedings of the 16th International Natural Language Generation Conference, 2023

A Model-free Closeness-of-influence Test for Features in Supervised Learning.
Proceedings of the International Conference on Machine Learning, 2023

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning the Visualness of Text Using Large Vision-Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

How Small Businesses Transform PDF Agreements into Action.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Improving Learning-based Camera Pose Estimation for Image-based Augmented Reality Applications.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation.
Proceedings of the IEEE International Conference on Big Data, 2023

Discovery and Matching Numerical Attributes in Data Lakes.
Proceedings of the IEEE International Conference on Big Data, 2023

On Chatbots for Visual Exploratory Data Analysis.
Proceedings of the IEEE International Conference on Big Data, 2023

Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling.
Proceedings of the IEEE International Conference on Big Data, 2023

DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information.
Proceedings of the IEEE International Conference on Big Data, 2023

Multi-Item Continuous Influence Maximization.
Proceedings of the IEEE International Conference on Big Data, 2023

Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types.
Proceedings of the IEEE International Conference on Big Data, 2023

Near Neighbor Search for Constraint Queries.
Proceedings of the IEEE International Conference on Big Data, 2023

PersonaSAGE: A Multi-Persona Graph Neural Network.
Proceedings of the IEEE International Conference on Big Data, 2023

Hypergraph Neural Networks for Time-series Forecasting.
Proceedings of the IEEE International Conference on Big Data, 2023

Interpretable Unsupervised Log Anomaly Detection.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Personalized Visualization Recommendation.
ACM Trans. Web, 2022

An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization.
IEEE Trans. Vis. Comput. Graph., 2022

Role-Based Graph Embeddings.
IEEE Trans. Knowl. Data Eng., 2022

A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings.
CoRR, 2022

Graph Learning with Localized Neighborhood Fairness.
CoRR, 2022

AutoGML: Fast Automatic Model Selection for Graph Machine Learning.
CoRR, 2022

CGC: Contrastive Graph Clustering for Community Detection and Tracking.
CoRR, 2022

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

On Generalizing Static Node Embedding to Dynamic Settings.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Let's Get Personal: Exploring the Design of Personalized Visualizations.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

iMarker: Instant and True-to-scale AR with Invisible Markers.
Proceedings of the Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

CyCLIP: Cyclic Contrastive Language-Image Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Point Process for Learning Spatiotemporal Event Dynamics.
Proceedings of the Learning for Dynamics and Control Conference, 2022

External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Task-Oriented Near-Lossless Burst Compression.
Proceedings of the IEEE International Symposium on Multimedia, 2022

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes.
Proceedings of the International Conference on Machine Learning, 2022

CODAS: Integrating Business Analytics and Report Authoring.
Proceedings of the 13th International EuroVis Workshop on Visual Analytics, 2022

Understanding Business Analysts' Needs for Data Report Authoring.
Proceedings of the 13th International EuroVis Workshop on Visual Analytics, 2022

Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Network Report: A Structured Description for Network Datasets.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Implicit Session Contexts for Next-Item Recommendations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoForecast: Automatic Time-Series Forecasting Model Selection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Cicero: A Declarative Grammar for Responsive Visualization.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Clustering-based Unsupervised Generative Relation Extraction.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Heterogeneous Graphlets.
ACM Trans. Knowl. Discov. Data, 2021

Online Sampling of Temporal Networks.
ACM Trans. Knowl. Discov. Data, 2021

Dynamic Node Embeddings From Edge Streams.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes.
CoRR, 2021

An Interpretable Graph Generative Model with Heterophily.
CoRR, 2021

Optimal Space and Time for Streaming Pattern Matching.
CoRR, 2021

Insight-centric Visualization Recommendation.
CoRR, 2021

Generating Accurate Caption Units for Figure Captioning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Provable Distributed Stochastic Gradient Descent with Delayed Updates.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Automatic Unsupervised Outlier Model Selection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Edge: Enriching Knowledge Graph Embeddings with External Text.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

EXACTA: Explainable Column Annotation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Recommend Visualizations from Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Interactive Audience Expansion On Large Scale Online Visitor Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Open-Domain Trending Hashtag Recommendation for Videos.
Proceedings of the IEEE International Symposium on Multimedia, 2021

Asymptotics of Ridge Regression in Convolutional Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

Fundamental Tradeoffs in Distributionally Adversarial Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Machine Unlearning via Algorithmic Stability.
Proceedings of the Conference on Learning Theory, 2021

From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Influence-guided Data Augmentation for Neural Tensor Completion.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Framework for Knowledge-Derived Query Suggestions.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Context Integrated Relational Spatio-Temporal Resource Forecasting.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Learning Contextualized Knowledge Structures for Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

2020
Deep Inductive Graph Representation Learning.
IEEE Trans. Knowl. Data Eng., 2020

On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications.
ACM Trans. Knowl. Discov. Data, 2020

Correction to: Complex networks are structurally distinguishable by domain.
Soc. Netw. Anal. Min., 2020

Ensemble Learning for Relational Data.
J. Mach. Learn. Res., 2020

Learning Contextualized Knowledge Structures for Commonsense Reasoning.
CoRR, 2020

Graph Deep Factors for Forecasting.
CoRR, 2020

Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction.
CoRR, 2020

A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting.
CoRR, 2020

ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data.
CoRR, 2020

Automating Outlier Detection via Meta-Learning.
CoRR, 2020

From Static to Dynamic Node Embeddings.
CoRR, 2020

Inferring Individual Level Causal Models from Graph-based Relational Time Series.
CoRR, 2020

Fast and Accurate Estimation of Typed Graphlets.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

From Closing Triangles to Closing Higher-Order Motifs.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Fast Hierarchical Graph Clustering in Linear-Time.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Real-Time Clustering for Large Sparse Online Visitor Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Structural Graph Representation Learning Framework.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Figure Captioning with Relation Maps for Reasoning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Approximate Maximum Matching in Random Streams.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Higher-order Clustering in Complex Heterogeneous Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Structured Policy Iteration for Linear Quadratic Regulator.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Estimation of Graphlet Counts in Massive Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019

Attention Models in Graphs: A Survey.
ACM Trans. Knowl. Discov. Data, 2019

Complex networks are structurally distinguishable by domain.
Soc. Netw. Anal. Min., 2019

Temporal Network Sampling.
CoRR, 2019

From Community to Role-based Graph Embeddings.
CoRR, 2019

Linear-time Hierarchical Community Detection.
CoRR, 2019

Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs.
CoRR, 2019

Figure Captioning with Reasoning and Sequence-Level Training.
CoRR, 2019

Temporal Network Representation Learning.
CoRR, 2019

Heterogeneous Network Motifs.
CoRR, 2019

Secure Two-Party Feature Selection.
CoRR, 2019

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

On Densification for Minwise Hashing.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Latent Network Summarization: Bridging Network Embedding and Summarization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Neural caption generation over figures.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Linear Quadratic Regulator for Resource-Efficient Cloud Services.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Graph Convolutional Networks with Motif-based Attention.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Interactive Visual Graph Mining and Learning.
ACM Trans. Intell. Syst. Technol., 2018

Relational time series forecasting.
Knowl. Eng. Rev., 2018

GraphZIP: a clique-based sparse graph compression method.
J. Big Data, 2018

Bridging Network Embedding and Graph Summarization.
CoRR, 2018

Higher-order Spectral Clustering for Heterogeneous Graphs.
CoRR, 2018

Higher-order Graph Convolutional Networks.
CoRR, 2018

Learning Role-based Graph Embeddings.
CoRR, 2018

HONE: Higher-Order Network Embeddings.
CoRR, 2018

Deep Inductive Network Representation Learning.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Higher-order Network Representation Learning.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Continuous-Time Dynamic Network Embeddings.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Graph Classification using Structural Attention.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Similarity-based Multi-label Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Interactive Higher-Order Network Analysis.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
On Sampling from Massive Graph Streams.
Proc. VLDB Endow., 2017

Graphlet decomposition: framework, algorithms, and applications.
Knowl. Inf. Syst., 2017

Representation Learning in Large Attributed Graphs.
CoRR, 2017

Deep Graph Attention Model.
CoRR, 2017

A Framework for Generalizing Graph-based Representation Learning Methods.
CoRR, 2017

Network Classification and Categorization.
CoRR, 2017

Deep Feature Learning for Graphs.
CoRR, 2017

Estimation of Graphlet Statistics.
CoRR, 2017

Edge Role Discovery via Higher-Order Structures.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

A Higher-Order Latent Space Network Model.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Parallel collective factorization for modeling large heterogeneous networks.
Soc. Netw. Anal. Min., 2016

Relational Similarity Machines.
CoRR, 2016

Hybrid CPU-GPU Framework for Network Motifs.
CoRR, 2016

Revisiting Role Discovery in Networks: From Node to Edge Roles.
CoRR, 2016

Exact and Estimation of Local Edge-centric Graphlet Counts.
Proceedings of the 5th International Workshop on Big Data, 2016

Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Estimation of local subgraph counts.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Toward Interactive Relational Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Role Discovery in Networks.
IEEE Trans. Knowl. Data Eng., 2015

An Interactive Data Repository with Visual Analytics.
SIGKDD Explor., 2015

Parallel Maximum Clique Algorithms with Applications to Network Analysis.
SIAM J. Sci. Comput., 2015

A Web-based Interactive Visual Graph Analytics Platform.
CoRR, 2015

Fast Parallel Graphlet Counting for Large Networks.
CoRR, 2015

Interactive Visual Graph Analytics on the Web.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Efficient Graphlet Counting for Large Networks.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Scalable relational learning for large heterogeneous networks.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

The Network Data Repository with Interactive Graph Analytics and Visualization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Coloring large complex networks.
Soc. Netw. Anal. Min., 2014

A Dynamical System for PageRank with Time-Dependent Teleportation.
Internet Math., 2014

NetworkRepository: A Graph Data Repository with Visual Interactive Analytics.
CoRR, 2014

Fast maximum clique algorithms for large graphs.
Proceedings of the 23rd International World Wide Web Conference, 2014

Fast Triangle Core Decomposition for Mining Large Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013
A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components
CoRR, 2013

Modeling dynamic behavior in large evolving graphs.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

A multi-level approach for evaluating internet topology generators.
Proceedings of the IFIP Networking Conference, 2013, Brooklyn, 2013

2012
Transforming Graph Data for Statistical Relational Learning.
J. Artif. Intell. Res., 2012

What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks
CoRR, 2012

Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks
CoRR, 2012

Transforming Graph Representations for Statistical Relational Learning
CoRR, 2012

Role-dynamics: fast mining of large dynamic networks.
Proceedings of the 21st World Wide Web Conference, 2012

Dynamic PageRank Using Evolving Teleportation.
Proceedings of the Algorithms and Models for the Web Graph - 9th International Workshop, 2012

Time-Evolving Relational Classification and Ensemble Methods.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011
Representations and Ensemble Methods for Dynamic Relational Classification
CoRR, 2011

2010
Modeling the evolution of discussion topics and communication to improve relational classification.
Proceedings of the First Workshop on Social Media Analytics, 2010

Polyphony: A Workflow Orchestration Framework for Cloud Computing.
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009
Automatically identifying relations in privacy policies.
Proceedings of the 27th Annual International Conference on Design of Communication, 2009

2008
Signature based intrusion detection using latent semantic analysis.
Proceedings of the International Joint Conference on Neural Networks, 2008

Ranking Links on the Web: Search and Surf Engines.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

2007
Client-side dynamic metadata in web 2.0.
Proceedings of the 25th Annual International Conference on Design of Communication, 2007

Crick's Hypothesis Revisited: The Existence of a Universal Coding Frame.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

1989
Realities associated with parallel processing.
Proceedings of the Proceedings Supercomputing '89, Reno, NV, USA, November 12-17, 1989, 1989


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