William L Hamilton

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Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Rex (Zhitao) YingYale UniversityVerified email at yale.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
Joey BoseUniversity of Oxford and MilaVerified email at mail.mcgill.ca
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
Petar VeličkovićStaff Research Scientist, Google DeepMind | Affiliated Lecturer, University of CambridgeVerified email at google.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
William FedusOpenAIVerified email at openai.com
R Devon HjelmApple MLR, MilaVerified email at apple.com
Jiaxuan YouAssistant Professor, UIUC CSVerified email at cs.stanford.edu
Christopher MorrisRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Devendra Singh SachanGoogle DeepMind, Mila - Quebec AI Institute, McGill UniversityVerified email at mila.quebec
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaVerified email at usc.edu
Kaifeng ChenGoogle DeepMind; StanfordVerified email at google.com
Ruining HeGoogle DeepMindVerified email at google.com
Koustuv SinhaResearch Scientist, Meta AI (Fundamental AI Research), McGill UniversityVerified email at mail.mcgill.ca
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityVerified email at informatik.rwth-aachen.de
Jan Eric LenssenMax Planck Institute for Informatics, Kumo.aiVerified email at mpi-inf.mpg.de
Martin RitzertGeorg-August Universität GöttingenVerified email at informatik.uni-goettingen.de
Matthias FeyFounding Engineer @ kumo.aiVerified email at tu-dortmund.de

William L Hamilton

Assistant Professor of Computer Science, McGill University and Mila

Verified email at cs.mcgill.ca - Homepage

Machine Learning Graph Representation Learning Natural Language Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Inductive Representation Learning on Large Graphs WL Hamilton, R Ying, J Leskovec Neural Information Processing Systems (NeurIPS), 2017	16962	2017
Graph Convolutional Neural Networks for Web-Scale Recommender Systems R Ying, R He, K Chen, P Eksombatchai, WL Hamilton, J Leskovec ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018	3958	2018
Representation Learning on Graphs: Methods and Applications WL Hamilton, R Ying, J Leskovec IEEE Data Engineering Bulletin, 2017	2505	2017
Deep graph infomax. P Velickovic, W Fedus, WL Hamilton, P Liò, Y Bengio, RD Hjelm ICLR (Poster) 2 (3), 4, 2019	2257	2019
Hierarchical Graph Representation Learning with Differentiable Pooling R Ying, J You, C Morris, X Ren, WL Hamilton, J Leskovec Neural Information Processing Systems (NeurIPS), 2018	1822	2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks C Morris, M Ritzert, M Fey, WL Hamilton, JE Lenssen, G Rattan, M Grohe Association for the Advancement of Artificial Intelligence (AAAI), 2019	1777	2019
Graph Representation Learning WL Hamilton Morgan & Claypool Publishers, 2020	1357	2020
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change WL Hamilton, J Leskovec, D Jurafsky Association for Computational Linguistics (ACL), 2016	1258	2016
GraphRNN: Generating realistic graphs with deep auto-regressive models J You, R Ying, X Ren, WL Hamilton, J Leskovec International Conference in Machine Learning (ICML), 2018	1060	2018
Deep graph infomax P Veličković, W Fedus, WL Hamilton, P Liò, Y Bengio, RD Hjelm International Conference on Learning Representations (ICLR), 2019	797	2019
Language from police body camera footage shows racial disparities in officer respect R Voigt, NP Camp, V Prabhakaran, WL Hamilton, RC Hetey, CM Griffiths, ... Proceedings of the National Academy of Sciences 114 (25), 6521-6526, 2017	500	2017
Rethinking graph transformers with spectral attention D Kreuzer, D Beaini, W Hamilton, V Létourneau, P Tossou Advances in Neural Information Processing Systems 34, 21618-21629, 2021	490	2021
Inductive Relation Prediction by Subgraph Reasoning KK Teru, E Denis, WL Hamilton International Conference on Machine Learning (ICML), 2020	449	2020
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora WL Hamilton, K Clark, J Leskovec, D Jurafsky Empirical Methods in Natural Language Processing (EMNLP), 2016	443	2016
Community Interaction and Conflict on the Web S Kumar, WL Hamilton, J Leskovec, D Jurafsky The Web Conference (WWW), 2018	419	2018
Efficient Graph Generation with Graph Recurrent Attention Networks R Liao, Y Li, Y Song, S Wang, C Nash, WL Hamilton, D Duvenaud, ... Neural Information Processing Systems (NeurIPS), 2019	359	2019
Embedding Logical Queries on Knowledge Graphs WL Hamilton, P Bajaj, M Zitnik, D Jurafsky, J Leskovec Neural Information Processing Systems (NeurIPS), 2018	345	2018
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change WL Hamilton, J Leskovec, D Jurafsky Empirical Methods in Natural Language Processing (EMNLP), 2016	345	2016
Compositional Fairness Constraints for Graph Embeddings AJ Bose, W Hamilton International Conference on Machine Learning (ICML), 2019	296	2019
Directional graph networks D Beaini, S Passaro, V Létourneau, W Hamilton, G Corso, P Liò International Conference on Machine Learning, 748-758, 2021	192	2021

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