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TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

Oct 07, 2020
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton

* 17 pages, 9 figures. EMNLP 2020 Long Paper 

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Structure Aware Negative Sampling in Knowledge Graphs

Oct 07, 2020
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose

* Accepted to EMNLP 2020. Camera-ready submission 

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Directional Graph Networks

Oct 06, 2020
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Liò

* 8 pages, 10 pages appendix, 6 figures, subtitle: Anisotropic aggregation in graph neural networks via directional vector fields 

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VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA

Sep 01, 2020
Carlos Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jerome Waldispuhl


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Adversarial Example Games

Jul 01, 2020
Avishek Joey Bose, Gauthier Gidel, Hugo Berrard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton


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Learning an Unreferenced Metric for Online Dialogue Evaluation

May 01, 2020
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau

* Accepted at ACL 2020, 5 pages 

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Evaluating Logical Generalization in Graph Neural Networks

Mar 14, 2020
Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton


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Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games

Feb 21, 2020
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre C√īt√©, Mikul√°Ň° Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton


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Latent Variable Modelling with Hyperbolic Normalizing Flows

Feb 18, 2020
Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton

* Preprint, work under review 

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Exploring Structural Inductive Biases in Emergent Communication

Feb 04, 2020
Agnieszka SŇāowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Christopher Pal

* The first two authors contributed equally 

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Towards Graph Representation Learning in Emergent Communication

Feb 04, 2020
Agnieszka SŇāowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden

* The first two authors contributed equally. Accepted at the Reinforcement Learning in Games workshop at AAAI 2020 

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Meta-Graph: Few shot Link Prediction via Meta Learning

Dec 20, 2019
Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton


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Inductive Relation Prediction on Knowledge Graphs

Nov 16, 2019
Komal K. Teru, William L. Hamilton


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Efficient Graph Generation with Graph Recurrent Attention Networks

Oct 02, 2019
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel

* Neural Information Processing Systems (NeurIPS) 2019 

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CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Sep 04, 2019
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton

* Accepted at EMNLP 2019, 9 page content + Appendix 

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Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia

Jul 02, 2019
Charles C. Onu, Jonathan Lebensold, William L. Hamilton, Doina Precup

* Accepted at INTERSPEECH 2019 

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Generalizable Adversarial Attacks Using Generative Models

Jun 12, 2019
Avishek Joey Bose, Andre Cianflone, William L. Hamilton


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Compositional Language Understanding with Text-based Relational Reasoning

Nov 08, 2018
Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau

* 4 pages of main content, to be presented at Relational Representation Learning Workshop, NIPS 2018, Montreal 

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Hierarchical Graph Representation Learning with Differentiable Pooling

Oct 26, 2018
Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec


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Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

Oct 25, 2018
William L. Hamilton, Jure Leskovec, Dan Jurafsky

* Association for Computational Linguistics (ACL), 2016. Minor corrections; improved methodology for Section 3 

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Deep Graph Infomax

Sep 27, 2018
Petar Velińćkovińá, William Fedus, William L. Hamilton, Pietro Li√≤, Yoshua Bengio, R Devon Hjelm

* Under review as a conference paper at ICLR 2019. 15 pages, 8 figures 

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Inductive Representation Learning on Large Graphs

Sep 10, 2018
William L. Hamilton, Rex Ying, Jure Leskovec

* Published in NIPS 2017; version with full appendix and minor corrections 

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Embedding Logical Queries on Knowledge Graphs

Sep 06, 2018
William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec

* To appear in NIPS 2018 

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GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Jun 23, 2018
Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec

* ICML 2018 

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Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Jun 06, 2018
Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec

* KDD 2018 

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Representation Learning on Graphs: Methods and Applications

Apr 10, 2018
William L. Hamilton, Rex Ying, Jure Leskovec

* Published in the IEEE Data Engineering Bulletin, September 2017; version with minor corrections 

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Community Interaction and Conflict on the Web

Mar 09, 2018
Srijan Kumar, William L. Hamilton, Jure Leskovec, Dan Jurafsky

* In WWW 2018: The Web Conference. Project website with data and code is https://snap.stanford.edu/conflict/ 

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