William L. Hamilton

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Membre Académique Principal
William L. Hamilton
Professeur adjoint, McGill University
William L. Hamilton

Publications

2021-12

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh, Siva Reddy, Will Hamilton, Chris Dyer and Dani Yogatama
NEURIPS 2021
(2021-12-06)
papers.nips.ccPDF
Rethinking Graph Transformers with Spectral Attention
Devin Kreuzer, Dominique Beaini, William L. Hamilton, Vincent Létourneau and Prudencio Tossou

2021-11

Bombardier Aftermarket Demand Forecast with Machine Learning
Pierre Dodin, Jingyi Xiao, Yossiri Adulyasak, Neda Etebari Alamdari, Lea Gauthier, Philippe Grangier, Paul Lemaitre and William Hamilton
(venue unknown)
(2021-11-05)
autopapers.ssrn.com

2021-09

Edge-similarity-aware Graph Neural Networks.
Vincent Mallet, Carlos G. Oliver and William L. Hamilton
arXiv preprint arXiv:2109.09432
(2021-09-20)
dblp.uni-trier.dePDF
RNAglib: A Python Package for RNA 2.5D Graphs
Vincent Mallet, Carlos Oliver, Jonathan Broadbent, William L. Hamilton and Jérôme Waldispühl
arXiv preprint arXiv:2109.04434
(2021-09-09)
ui.adsabs.harvard.eduPDF

2021-08

End-to-End Training of Neural Retrievers for Open-Domain Question Answering
Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton and Bryan Catanzaro

2021-06

NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.
Mikhail Galkin, Jiapeng Wu, Etienne Denis and William L. Hamilton
arXiv preprint arXiv:2106.12144
(2021-06-23)
dblp.uni-trier.dePDF
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh Sachan, Siva Reddy, William Hamilton, Chris Dyer and Dani Yogatama
arXiv: Computation and Language
(2021-06-09)
ui.adsabs.harvard.eduPDF
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
Dylan Sandfelder, Priyesh Vijayan and William L. Hamilton
ICASSP 2021
(2021-06-06)
ieeexplore.ieee.orgPDF

2021-05

Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery.
Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist and William L. Hamilton
arXiv preprint arXiv:2105.10488
(2021-05-17)
ui.adsabs.harvard.eduPDF
SARS-CoV-2 B.1.617 emergence and sensitivity to vaccine-elicited antibodies
Petra Mlcochova, Steven A Kemp, Mahesh Shanker Dhar, Guido Papa, Bo Meng, Swapnil Mishra, Charlie Whittaker, Thomas Mellan, Isabella Ferreira, Rawlings Datir, Dami Collier, Sujeet Singh, Rajesh Pandey, Kalaiarasan Ponnusamy, V S Radhakrishnan, Shantanu Sengupta, Jonathan Brown, Robin Marwal, Niluka Goonawardne, Adam Abdullahi... (30 more)
bioRxiv
(2021-05-09)
europepmc.orgPDF
GraphLog: A Benchmark for Measuring Logical Generalization in Graph Neural Networks
Koustuv Sinha, Shagun Sodhani, Joelle Pineau and William L. Hamilton
(venue unknown)
(2021-05-04)
openreview.netPDF
Directional graph networks
Dominique Beaini, Saro Passaro, Vincent Letourneau, William L. Hamilton, Gabriele Corso and Pietro Liò
Neural representation and generation for RNA secondary structures
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang and Hugo Larochelle

2021-04

Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs.
Dora Jambor, Komal K. Teru, Joelle Pineau and William L. Hamilton
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Devendra Singh Sachan, Yuhao Zhang, Peng Qi and William L. Hamilton

2021-03

Online Adversarial Attacks.
Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent and Gauthier Gidel
arXiv preprint arXiv:2103.02014
(2021-03-02)
ui.adsabs.harvard.eduPDF

2021-02

A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective.
Stephen Bonner, Ian P. Barrett, Cheng Ye, Rowan Swiers, Ola Engkvist, Andreas Bender and William L. Hamilton
arXiv preprint arXiv:2102.10062
(2021-02-19)
ui.adsabs.harvard.eduPDF

2021-01

Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application.
arXiv: Learning
(2021-01-13)
dblp.uni-trier.de
Structural Inductive Biases in Emergent Communication
Agnieszka Slowik, Abhinav Gupta, William Hamilton, Mateja Jamnik, Sean Holden and Chris Pal
Proceedings of the Annual Meeting of the Cognitive Science Society
(2021-01-01)
escholarship.orgPDF[Also on arXiv: Computation and Language (2020-02-04)]

2020-12

Directional Graph Networks. (arXiv:2010.02863v2 [cs.LG] UPDATED)
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso and Pietro Liò
arXiv Computer Science
(2020-12-11)

2020-11

Distilling Structured Knowledge for Text-Based Relational Reasoning
Jin Dong, Marc-Antoine Rondeau and William L. Hamilton
EMNLP 2020
(2020-11-01)
aclanthology.org
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung and William L. Hamilton
Structure Aware Negative Sampling in Knowledge Graphs
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton and Avishek Joey Bose

2020-10

Stronger Transformers for Neural Multi-Hop Question Generation
Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan and William L. Hamilton
arXiv preprint arXiv:2010.11374
(2020-10-22)
ui.adsabs.harvard.eduPDF
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler and William L. Hamilton

2020-09

Graph Representation Learning
(venue unknown)
(2020-09-16)
ieeexplore.ieee.org
VeRNAl: Mining RNA Structures for Fuzzy Base Pairing Network Motifs
Carlos Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton and Jerome Waldispuhl
arXiv preprint arXiv:2009.00664
(2020-09-01)
ui.adsabs.harvard.eduPDF

2020-08

Do Syntax Trees Help Pre-trained Transformers Extract Information?. (arXiv:2008.09084v1 [cs.CL])
Devendra Singh Sachan, Yuhao Zhang, Peng Qi and William Hamilton
arXiv Computer Science
(2020-08-21)
Augmented base pairing networks encode RNA-small molecule binding preferences.
Carlos Oliver, Vincent Mallet, Roman Sarrazin Gendron, Vladimir Reinharz, William L Hamilton, Nicolas Moitessier and Jérôme Waldispühl
Nucleic Acids Research
(2020-08-20)
academic.oup.com[Also on bioRxiv (2020-01-31)]

2020-07

Latent Variable Modelling with Hyperbolic Normalizing Flows
Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden and Will Hamilton
ICML 2020
(2020-07-12)
proceedings.mlr.pressPDF
Inductive Relation Prediction by Subgraph Reasoning
Komal Teru, Etienne Denis and Will Hamilton
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT
Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton and Jimmy Lin
ACL 2020
(2020-07-01)
aclanthology.org
Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions.
Learning an Unreferenced Metric for Online Dialogue Evaluation.
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton and Joelle Pineau
Adversarial Example Games.
Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien and William L. Hamilton
arXiv preprint arXiv:2007.00720
(2020-07-01)
ui.adsabs.harvard.eduPDF

2020-06

Learning Dynamic Belief Graphs to Generalize on Text-Based Games. (arXiv:2002.09127v2 [cs.CL] UPDATED)
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler and William L. Hamilton
arXiv Computer Science
(2020-06-19)
Evaluating Logical Generalization in Graph Neural Networks.
Koustuv Sinha, Shagun Sodhani, Joelle Pineau and William L. Hamilton
arXiv preprint arXiv:2003.06560
(2020-06-12)
ui.adsabs.harvard.eduPDF

2020-02

Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games.
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler and William L. Hamilton
(venue unknown)
(2020-02-21)
dblp.uni-trier.dePDF
Latent Variable Modelling with Hyperbolic Normalizing Flows
Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden and William L. Hamilton
arXiv preprint arXiv:2002.06336
(2020-02-15)
arxiv.orgPDF
Exploring Structural Inductive Biases in Emergent Communication.
Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden and Christopher J. Pal
arXiv e-prints
(2020-02-04)
ui.adsabs.harvard.edu

2020-01

Towards Graph Representation Learning in Emergent Communication
Agnieszka Słowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik and Sean B. Holden
arXiv preprint arXiv:2001.09063
(2020-01-24)
ui.adsabs.harvard.eduPDF
Adversarial Example Games
Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien and Will Hamilton
NEURIPS 2020
(2020-01-01)
papers.nips.ccPDF
VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA.
Carlos G. Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton and Jérôme Waldispühl

2019-11

Inductive Relation Prediction on Knowledge Graphs.
Komal K. Teru and William L. Hamilton
(venue unknown)
(2019-11-16)
dblp.uni-trier.de
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau and William L. Hamilton

2019-10

Actor Critic with Differentially Private Critic.
Jonathan Lebensold, William L. Hamilton, Borja Balle and Doina Precup
arXiv preprint arXiv:1910.05876
(2019-10-14)
ui.adsabs.harvard.eduPDF
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun and Richard S. Zemel
arXiv preprint arXiv:1910.00760
(2019-10-02)
ui.adsabs.harvard.eduPDF

2019-09

Meta-Graph: Few shot Link Prediction via Meta Learning
Avishek Joey Bose, Ankit Jain, Piero Molino and William L. Hamilton
arXiv preprint arXiv:1912.09867
(2019-09-25)
ui.adsabs.harvard.eduPDF

2019-07

Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan and Martin Grohe

2019-06

Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia
Charles C. Onu, Jonathan Lebensold, William L. Hamilton and Doina Precup
Compositional Invariance Constraints for Graph Embeddings
Avishek Bose and William Hamilton
ICML 2019
(2019-06-09)
icml.cc

2019-05

Generalizable Adversarial Attacks Using Generative Models.
Avishek Joey Bose, Andre Cianflone and William L. Hamilton
(venue unknown)
(2019-05-26)
dblp.uni-trier.de
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling
Avishek Joey Bose, Andre Cianflone and William L. Hamilton
arXiv preprint arXiv:1905.10864
(2019-05-26)
ui.adsabs.harvard.eduPDF
Compositional Fairness Constraints for Graph Embeddings
Avishek Joey Bose and William L. Hamilton
Representation Learning on Graphs and Manifolds
William Hamilton, Frederic Sala, Peter Battaglia, Joan Bruna, Thomas Kipf, Yujia Li, Razvan Pascanu, Adriana Romero, Petar Veličković, Marinka Zitnik, Maximilian Nickel, Beliz Gunel, Albert Gu and Christopher Re
ICLR 2019
(2019-05-06)
iclr.cc

2019-01

Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, William L. Hamilton, David Duvenaud, Raquel Urtasun and Richard S. Zemel
NEURIPS 2019
(2019-01-01)
papers.nips.ccPDF

2018-12

Embedding Logical Queries on Knowledge Graphs
Will Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky and Jure Leskovec
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF
Hierarchical graph representation learning with differentiable pooling
Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton and Jure Leskovec
NEURIPS 2018
(2018-12-03)
papers.nips.ccPDF

2018-11

Compositional Language Understanding with Text-based Relational Reasoning.
Koustuv Sinha, Shagun Sodhani, William L. Hamilton and Joelle Pineau
arXiv preprint arXiv:1811.02959
(2018-11-07)
ui.adsabs.harvard.eduPDF

2018-09

Deep Graph Infomax
Petar Velickovic, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio and R. Devon Hjelm

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