Hamilton, Will

11 publications

ICML 2021 Directional Graph Networks Dominique Beaini, Saro Passaro, Vincent Létourneau, Will Hamilton, Gabriele Corso, Pietro Lió

NeurIPS 2021 End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering Devendra Singh, Siva Reddy, Will Hamilton, Chris Dyer, Dani Yogatama

NeurIPS 2021 Rethinking Graph Transformers with Spectral Attention Devin Kreuzer, Dominique Beaini, Will Hamilton, Vincent Létourneau, Prudencio Tossou

NeurIPS 2020 Adversarial Example Games Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, Will Hamilton

ICML 2020 Inductive Relation Prediction by Subgraph Reasoning Komal Teru, Etienne Denis, Will Hamilton

ICML 2020 Latent Variable Modelling with Hyperbolic Normalizing Flows Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, Will Hamilton

NeurIPS 2020 Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, Will Hamilton

NeurIPS 2019 Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Will Hamilton, David K. Duvenaud, Raquel Urtasun, Richard Zemel

NeurIPS 2018 Embedding Logical Queries on Knowledge Graphs Will Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec

NeurIPS 2018 Hierarchical Graph Representation Learning with Differentiable Pooling Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, Jure Leskovec

NeurIPS 2017 Inductive Representation Learning on Large Graphs Will Hamilton, Zhitao Ying, Jure Leskovec