William L. Hamilton

Mila > À propos de Mila > Équipe > William L. Hamilton
Membre Académique Principal
William L. Hamilton
Professeur adjoint, McGill University
William L. Hamilton

Publications

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)
arxiv.orgPDF

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 and William Hamilton
arXiv: Artificial Intelligence
(2021-02-19)
arxiv.orgPDF
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs.
Dora Jambor, Komal Teru, Joelle Pineau and William L. Hamilton
arXiv preprint arXiv:2102.03419
(2021-02-05)
arxiv.orgPDF

2021-01

End-to-End Training of Neural Retrievers for Open-Domain Question Answering
Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L Hamilton and Bryan Catanzaro
arXiv preprint arXiv:2101.00408
(2021-01-02)
arxiv.orgPDF

2020-12

VeRNAl: Mining RNA Structures for Fuzzy Base Pairing Network Motifs.
Carlos Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton and Jerome Waldispuhl
arXiv: Molecular Networks
(2020-12-21)
arxiv.orgPDF

2020-11

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

2020-10

Stronger Transformers for Neural Multi-Hop Question Generation
Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan and William Hamilton
arXiv preprint arXiv:2010.11374
(2020-10-22)
arxiv.orgPDF
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung and William L. Hamilton
arXiv preprint arXiv:2010.03526
(2020-10-07)
arxiv.orgPDF
Directional Graph Networks
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso and Pietro Liò
arXiv preprint arXiv:2010.02863
(2020-10-06)
arxiv.orgPDF

2020-09

GraphLog: A Benchmark for Measuring Logical Generalization in Graph Neural Networks
Koustuv Sinha, Shagun Sodhani, Joelle Pineau and William L. Hamilton
(venue unknown)
(2020-09-28)
openreview.netPDF
Neural representation and generation for RNA secondary structures
Structure Aware Negative Sampling in Knowledge Graphs
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton and Avishek Joey Bose
arXiv preprint arXiv:2009.11355
(2020-09-23)
ui.adsabs.harvard.eduPDF
Graph Representation Learning
(venue unknown)
(2020-09-16)
www.morganclaypool.com
VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA.
Carlos Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton and Jerome Waldispuhl
arXiv preprint arXiv:2009.00664
(2020-09-01)
arxiv.orgPDF

2020-08

Do Syntax Trees Help Pre-trained Transformers Extract Information?
Devendra Singh Sachan, Yuhao Zhang, Peng Qi and William Hamilton
arXiv preprint arXiv:2008.09084
(2020-08-20)
arxiv.orgPDF

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)
ui.adsabs.harvard.eduPDF
Inductive Relation Prediction by Subgraph Reasoning
Komal Teru, Etienne Denis and Will Hamilton
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
(2020-07-11)
academic.oup.com[Also on bioRxiv (2020-01-31)]
Learning an Unreferenced Metric for Online Dialogue Evaluation
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton and Joelle Pineau
Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions.
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)
dblp.uni-trier.dePDF

2020-06

A Universal Representation Transformer Layer for Few-Shot Image Classification.
Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang and Hugo Larochelle
ICLR 2020
(2020-06-21)
dblp.uni-trier.de
A Universal Representation Transformer Layer for Few-Shot Image Classification.
Lu Liu, William Hamilton, Guodong Long, Jing Jiang and Hugo Larochelle
arXiv preprint arXiv:2006.11702
(2020-06-21)
dblp.uni-trier.dePDF

2020-03

Evaluating Logical Generalization in Graph Neural Networks.
Koustuv Sinha, Shagun Sodhani, Joelle Pineau and William L. Hamilton
arXiv preprint arXiv:2003.06560
(2020-03-14)
dblp.uni-trier.dePDF

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)
www.microsoft.comPDF
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 and William L. Hamilton
arXiv preprint arXiv:2002.09127
(2020-02-21)
arxiv.orgPDF
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 preprint arXiv:2002.01335
(2020-02-04)
ui.adsabs.harvard.eduPDF

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
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 and Will Hamilton
NEURIPS 2020
(2020-01-01)
papers.nips.cc
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.cc
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
(2020-01-01)
www.aclweb.org

2019-12

Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Will Hamilton, David Duvenaud, Raquel Urtasun and Richard Zemel
NEURIPS 2019
(2019-12-08)
papers.nips.ccPDF

2019-11

Inductive Relation Prediction on Knowledge Graphs.
Komal K. Teru and William L. Hamilton
arXiv preprint arXiv:1911.06962
(2019-11-16)
dblp.uni-trier.dePDF
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)
export.arxiv.orgPDF

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)
dblp.uni-trier.dePDF

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)
arxiv.orgPDF
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
Deep Graph Infomax
Petar Veličković, William Fedus, William L Hamilton, Pietro Liò, Yoshua Bengio and R Devon Hjelm

2019-01

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

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, Will 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)
dblp.uni-trier.dePDF

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