Bryan Perozzi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Tackling Provably Hard Representative Selection via Graph Neural Networks.

[BibT_eX]

[DOI]

Mehran Kazemi

Hossein Esfandiari

MohammadHossein Bateni

Deepak Ramachandran

Vahab Mirrokni

Trans. Mach. Learn. Res., 2023

Graph Clustering with Graph Neural Networks.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure.

[BibT_eX]

[DOI]

Phitchaya Mangpo Phothilimthana

CoRR, 2023

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

UGSL: A Unified Framework for Benchmarking Graph Structure Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Examining the Effects of Degree Distribution and Homophily in Graph Learning Models.

[BibT_eX]

[DOI]

CoRR, 2023

Explaining and Adapting Graph Conditional Shift.

[BibT_eX]

[DOI]

CoRR, 2023

SubMix: Learning to Mix Graph Sampling Heuristics.

[BibT_eX]

[DOI]

MohammadHossein Bateni

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Unsupervised Embedding Quality Evaluation.

[BibT_eX]

[DOI]

Marina Munkhoeva

Phitchaya Mangpo Phothilimthana

Proceedings of the Topological, 2023

HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer.

[BibT_eX]

[DOI]

Kaize Ding

Albert Jiongqian Liang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Kaidi Cao

Phitchaya Mangpo Phothilimthana

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Neural Networks in TensorFlow.

[BibT_eX]

[DOI]

Sami Abu-El-Haija

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

HUGE: Huge Unsupervised Graph Embeddings with TPUs.

[BibT_eX]

[DOI]

Brandon A. Mayer

Hendrik Fichtenberger

Jonathan Halcrow

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Generative Model for Benchmarking Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Machine Learning on Graphs: A Model and Comprehensive Taxonomy.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

On Classification Thresholds for Graph Attention with Edge Features.

[BibT_eX]

[DOI]

CoRR, 2022

Scalable Privacy-enhanced Benchmark Graph Generative Model for Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2022

TF-GNN: Graph Neural Networks in TensorFlow.

[BibT_eX]

[DOI]

CoRR, 2022

Synthetic Graph Generation to Benchmark Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GraphWorld: Fake Graphs Bring Real Insights for GNNs.

[BibT_eX]

[DOI]

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

2021

Pathfinder Discovery Networks for Neural Message Passing.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning.

[BibT_eX]

[DOI]

Elan Sopher Markowitz

Keshav Balasubramanian

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

InstantEmbedding: Efficient Local Node Representations.

[BibT_eX]

[DOI]

Stefan Postavaru

Filipe Miguel Gonçalves de Almeida

Yingtao Tian

Silvio Lattanzi

CoRR, 2020

Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs.

[BibT_eX]

[DOI]

Marina Munkhoeva

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Graph Embedding with Personalized Context Distribution.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Grale: Designing Networks for Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Scaling Graph Neural Networks with Approximate PageRank.

[BibT_eX]

[DOI]

Aleksandar Bojchevski

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Debiasing Graph Representations via Metadata-Orthogonal Training.

[BibT_eX]

[DOI]

John Palowitch

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit.

[BibT_eX]

[DOI]

John Palowitch

CoRR, 2019

Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts.

[BibT_eX]

[DOI]

Alessandro Epasto

Proceedings of the World Wide Web Conference, 2019

DDGK: Learning Graph Representations for Deep Divergence Graph Kernels.

[BibT_eX]

[DOI]

Rami Al-Rfou

Dustin Zelle

Proceedings of the World Wide Web Conference, 2019

N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Social Relation Inference via Label Propagation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2019

2018

Discovering Communities and Anomalies in Attributed Graphs: Interactive Visual Exploration and Summarization.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

A Tutorial on Network Embeddings.

[BibT_eX]

[DOI]

CoRR, 2018

Watch Your Step: Learning Node Embeddings via Graph Attention.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Enhanced Network Embeddings via Exploiting Edge Labels.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

HARP: Hierarchical Representation Learning for Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Vector-based similarity measurements for historical figures.

[BibT_eX]

[DOI]

Yanqing Chen

Inf. Syst., 2017

ASYMP: Fault-tolerant Mining of Massive Graphs.

[BibT_eX]

[DOI]

CoRR, 2017

Watch Your Step: Learning Graph Embeddings Through Attention.

[BibT_eX]

[DOI]

CoRR, 2017

Ties That Bind: Characterizing Classes by Attributes and Social Ties.

[BibT_eX]

[DOI]

Aria Rezaei

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Learning Edge Representations via Low-Rank Asymmetric Projections.

[BibT_eX]

[DOI]

Sami Abu-El-Haija

Rami Al-Rfou

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Don't Walk, Skip!: Online Learning of Multi-scale Network Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

On the Convergent Properties of Word Embedding Methods.

[BibT_eX]

[DOI]

CoRR, 2016

Walklets: Multiscale Graph Embeddings for Interpretable Network Classification.

[BibT_eX]

[DOI]

Vivek Kulkarni

CoRR, 2016

Scalable Anomaly Ranking of Attributed Neighborhoods.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

When Recommendation Goes Wrong: Anomalous Link Discovery in Recommendation Networks.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Freshman or Fresher? Quantifying the Geographic Variation of Language in Online Social Media.

[BibT_eX]

[DOI]

Vivek Kulkarni

Proceedings of the Tenth International Conference on Web and Social Media, 2016

2015

Freshman or Fresher? Quantifying the Geographic Variation of Internet Language.

[BibT_eX]

[DOI]

Vivek Kulkarni

CoRR, 2015

Exact Age Prediction in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Statistically Significant Detection of Linguistic Change.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web, 2015

POLYGLOT-NER: Massive Multilingual Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014

Scalable graph clustering with parallel approximate PageRank.

[BibT_eX]

[DOI]

Christopher McCubbin

James T. Halbert

Soc. Netw. Anal. Min., 2014

Exploring the power of GPU's for training Polyglot language models.

[BibT_eX]

[DOI]

CoRR, 2014

Focused clustering and outlier detection in large attributed graphs.

[BibT_eX]

[DOI]

Patricia Iglesias Sánchez

Emmanuel Müller

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

DeepWalk: online learning of social representations.

[BibT_eX]

[DOI]

Rami Al-Rfou

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Inducing Language Networks from Continuous Space Word Representations.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks V, 2014

2013

The Expressive Power of Word Embeddings

[BibT_eX]

[DOI]

CoRR, 2013

Polyglot: Distributed Word Representations for Multilingual NLP.

[BibT_eX]

[DOI]

Rami Al-Rfou'