William L. Hamilton

102 papers A* 23A 5B 1Misc 1Journal 58Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Generative Active Learning for the Search of Small-molecule Protein Binders. CoRR Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio
2023	J	`jnl`	Bombardier Aftermarket Demand Forecast with Machine Learning. INFORMS J. Appl. Anal. Pierre Dodin, Jingyi Xiao, Yossiri Adulyasak, Neda Etebari Alamdari, Lea Gauthier, Philippe Grangier, Paul Lemaître, William L. Hamilton
2022	J	`jnl`	A review of biomedical datasets relating to drug discovery: a knowledge graph perspective. Briefings Bioinform. Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender, Charles Tapley Hoyt, William L. Hamilton
2022	A*	`conf`	NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. ICLR Mikhail Galkin, Etienne G. Denis, Jiapeng Wu, William L. Hamilton
2022	A*	`conf`	Online Adversarial Attacks. ICLR Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
2022	J	`jnl`	RNAglib: a python package for RNA 2.5 D graphs. Bioinform. Vincent Mallet, Carlos G. Oliver, Jonathan Broadbent, William L. Hamilton, Jérôme Waldispühl
2022	J	`jnl`	Vernal: a tool for mining fuzzy network motifs in RNA. Bioinform. Carlos G. Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jérôme Waldispühl
2021	J	`jnl`	A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective. CoRR Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender, William L. Hamilton
2021	A*	`conf`	A Universal Representation Transformer Layer for Few-Shot Image Classification. ICLR Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
2021	A*	`conf`	Directional Graph Networks. ICML Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Lió
2021	A	`conf`	Do Syntax Trees Help Pre-trained Transformers Extract Information? EACL Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton
2021	J	`jnl`	Edge-similarity-aware Graph Neural Networks. CoRR Vincent Mallet, Carlos G. Oliver, William L. Hamilton
2021	Misc	`conf`	Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks. ICASSP Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton
2021	J	`jnl`	Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks. CoRR Dylan Sandfelder, Priyesh Vijayan, William L. Hamilton
2021	A*	`conf`	End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. NeurIPS Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama
2021	J	`jnl`	End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. CoRR Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama
2021	—	`conf`	End-to-End Training of Neural Retrievers for Open-Domain Question Answering. ACL/IJCNLP (1) Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
2021	J	`jnl`	End-to-End Training of Neural Retrievers for Open-Domain Question Answering. CoRR Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
2021	J	`jnl`	Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application. CoRR Greta Laage, Emma Frejinger, William L. Hamilton, Andrea Lodi, Guillaume Rabusseau
2021	A	`conf`	Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. EACL Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton
2021	J	`jnl`	Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. CoRR Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton
2021	A*	`conf`	Neural representation and generation for RNA secondary structures. ICLR Zichao Yan, William L. Hamilton, Mathieu Blanchette
2021	J	`jnl`	Neural representation and generation for RNA secondary structures. CoRR Zichao Yan, William L. Hamilton, Mathieu Blanchette
2021	J	`jnl`	NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. CoRR Mikhail Galkin, Jiapeng Wu, Etienne G. Denis, William L. Hamilton
2021	J	`jnl`	Online Adversarial Attacks. CoRR Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
2021	A*	`conf`	Rethinking Graph Transformers with Spectral Attention. NeurIPS Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou
2021	J	`jnl`	Rethinking Graph Transformers with Spectral Attention. CoRR Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau, Prudencio Tossou
2021	B	`conf`	Structural Inductive Biases in Emergent Communication. CogSci Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Chris Pal
2021	J	`jnl`	Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery. CoRR Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, William L. Hamilton
2020	J	`jnl`	A Universal Representation Transformer Layer for Few-Shot Image Classification. CoRR Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
2020	A*	`conf`	Adversarial Example Games. NeurIPS Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
2020	J	`jnl`	Adversarial Example Games. CoRR Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
2020	J	`jnl`	Directional Graph Networks. CoRR Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò
2020	—	`conf`	Distilling Structured Knowledge for Text-Based Relational Reasoning. EMNLP (1) Jin Dong, Marc-Antoine Rondeau, William L. Hamilton
2020	J	`jnl`	Do Syntax Trees Help Pre-trained Transformers Extract Information? CoRR Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton
2020	J	`jnl`	Evaluating Logical Generalization in Graph Neural Networks. CoRR Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton
2020	J	`jnl`	Exploring Structural Inductive Biases in Emergent Communication. CoRR Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Christopher J. Pal
2020	—	`conf`	Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT. RepL4NLP@ACL Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton, Jimmy Lin
2020	—	`book`	Graph Representation Learning William L. Hamilton
2020	J	`jnl`	Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions. Bioinform. Zichao Yan, William L. Hamilton, Mathieu Blanchette
2020	A*	`conf`	Inductive Relation Prediction by Subgraph Reasoning. ICML Komal K. Teru, Etienne G. Denis, William L. Hamilton
2020	A*	`conf`	Latent Variable Modelling with Hyperbolic Normalizing Flows. ICML Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton
2020	J	`jnl`	Latent Variable Modelling with Hyperbolic Normalizing Flows. CoRR Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton
2020	A*	`conf`	Learning Dynamic Belief Graphs to Generalize on Text-Based Games. NeurIPS Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
2020	J	`jnl`	Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. CoRR Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
2020	A*	`conf`	Learning an Unreferenced Metric for Online Dialogue Evaluation. ACL Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
2020	J	`jnl`	Learning an Unreferenced Metric for Online Dialogue Evaluation. CoRR Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
2020	J	`jnl`	Stronger Transformers for Neural Multi-Hop Question Generation. CoRR Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William L. Hamilton
2020	—	`conf`	Structure Aware Negative Sampling in Knowledge Graphs. EMNLP (1) Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose
2020	J	`jnl`	Structure Aware Negative Sampling in Knowledge Graphs. CoRR Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose
2020	—	`conf`	TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. EMNLP (1) Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton
2020	J	`jnl`	TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. CoRR Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton
2020	J	`jnl`	Towards Graph Representation Learning in Emergent Communication. CoRR Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden
2020	J	`jnl`	VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA. CoRR Carlos G. Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jérôme Waldispühl
2019	J	`jnl`	Actor Critic with Differentially Private Critic. CoRR Jonathan Lebensold, William L. Hamilton, Borja Balle, Doina Precup
2019	—	`conf`	CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. EMNLP/IJCNLP (1) Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton
2019	J	`jnl`	CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. CoRR Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton
2019	A*	`conf`	Compositional Fairness Constraints for Graph Embeddings. ICML Avishek Joey Bose, William L. Hamilton
2019	J	`jnl`	Compositional Fairness Constraints for Graph Embeddings. CoRR Avishek Joey Bose, William L. Hamilton
2019	—	`conf`	Deep Graph Infomax. ICLR (Poster) Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R. Devon Hjelm
2019	A*	`conf`	Efficient Graph Generation with Graph Recurrent Attention Networks. NeurIPS Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel
2019	J	`jnl`	Efficient Graph Generation with Graph Recurrent Attention Networks. CoRR Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel
2019	J	`jnl`	Generalizable Adversarial Attacks Using Generative Models. CoRR Avishek Joey Bose, Andre Cianflone, William L. Hamilton
2019	J	`jnl`	Inductive Relation Prediction on Knowledge Graphs. CoRR Komal K. Teru, William L. Hamilton
2019	J	`jnl`	Meta-Graph: Few shot Link Prediction via Meta Learning. CoRR Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton
2019	A	`conf`	Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia. INTERSPEECH Charles C. Onu, Jonathan Lebensold, William L. Hamilton, Doina Precup
2019	J	`jnl`	Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia. CoRR Charles C. Onu, Jonathan Lebensold, William L. Hamilton, Doina Precup
2019	A*	`conf`	Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. AAAI Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe
2018	A*	`conf`	Community Interaction and Conflict on the Web. WWW Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky
2018	J	`jnl`	Community Interaction and Conflict on the Web. CoRR Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky
2018	J	`jnl`	Compositional Language Understanding with Text-based Relational Reasoning. CoRR Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau
2018	J	`jnl`	Deep Graph Infomax. CoRR Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R. Devon Hjelm
2018	A*	`conf`	Embedding Logical Queries on Knowledge Graphs. NeurIPS William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec
2018	A*	`conf`	Graph Convolutional Neural Networks for Web-Scale Recommender Systems. KDD Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec
2018	J	`jnl`	Graph Convolutional Neural Networks for Web-Scale Recommender Systems. CoRR Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec
2018	J	`jnl`	GraphRNN: A Deep Generative Model for Graphs. CoRR Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec
2018	A*	`conf`	GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. ICML Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec
2018	A*	`conf`	Hierarchical Graph Representation Learning with Differentiable Pooling. NeurIPS Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec
2018	J	`jnl`	Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec
2018	J	`jnl`	Querying Complex Networks in Vector Space. CoRR William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec
2018	—	`—`	Representation learning methods for computational social science. William L. Hamilton
2018	J	`jnl`	Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks. CoRR Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe
2017	A	`conf`	Community Identity and User Engagement in a Multi-Community Landscape. ICWSM Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec
2017	J	`jnl`	Community Identity and User Engagement in a Multi-Community Landscape. CoRR Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec
2017	—	`conf`	Inductive Representation Learning on Large Graphs. NIPS William L. Hamilton, Zhitao Ying, Jure Leskovec
2017	J	`jnl`	Inductive Representation Learning on Large Graphs. CoRR William L. Hamilton, Rex Ying, Jure Leskovec
2017	A	`conf`	Loyalty in Online Communities. ICWSM William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec
2017	J	`jnl`	Loyalty in Online Communities. CoRR William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky, Jure Leskovec
2017	J	`jnl`	Representation Learning on Graphs: Methods and Applications. CoRR William L. Hamilton, Rex Ying, Jure Leskovec
2017	J	`jnl`	Representation Learning on Graphs: Methods and Applications. IEEE Data Eng. Bull. William L. Hamilton, Rex Ying, Jure Leskovec
2016	A*	`conf`	Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. EMNLP William L. Hamilton, Jure Leskovec, Dan Jurafsky
2016	J	`jnl`	Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. CoRR William L. Hamilton, Jure Leskovec, Dan Jurafsky
2016	—	`conf`	Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. ACL (1) William L. Hamilton, Jure Leskovec, Dan Jurafsky
2016	J	`jnl`	Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. CoRR William L. Hamilton, Jure Leskovec, Dan Jurafsky
2016	A*	`conf`	Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. EMNLP William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky
2016	J	`jnl`	Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora. CoRR William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky
2016	—	`conf`	Learning Linguistic Descriptors of User Roles in Online Communities. NLP+CSS@EMNLP Alex Wang, William L. Hamilton, Jure Leskovec
2016	—	`conf`	Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. ACL (1) Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky
2014	J	`jnl`	Efficient learning and planning with compressed predictive states. J. Mach. Learn. Res. William L. Hamilton, Mahdi Milani Fard, Joelle Pineau
2014	A*	`conf`	Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison. ICML Borja Balle, William L. Hamilton, Joelle Pineau
2013	J	`jnl`	Efficient Learning and Planning with Compressed Predictive States. CoRR William L. Hamilton, Mahdi Milani Fard, Joelle Pineau
2013	—	`conf`	Modelling Sparse Dynamical Systems with Compressed Predictive State Representations. ICML (1) William L. Hamilton, Mahdi Milani Fard, Joelle Pineau