Jian Tang

Core Academic Member
Jian Tang
HEC Montréal, Assistant Professor, HEC Montréal
Jian Tang

I am currently an assistant professor at HEC Montreal and Mila. Prior to that, I was a Postdoc at University of Michigan and Carnegie Mellon University. I also worked at Microsoft Research Asia as an associate researcher between 2014-2016.

Research Interests: Deep Learning, Graph Representation Learning, Graph Neural Networks, Deep Generative Models, Reinforcement Learning, Knowledge Graphs, Drug Discovery and Recommender Systems.

Publications

2020-10

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St. Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge... (9 more)
arXiv preprint arXiv:2010.16004
(2020-10-30)
arxiv.orgPDF
XLVIN: eXecuted Latent Value Iteration Nets
Andreea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang and Mladen Nikolić
arXiv preprint arXiv:2010.13146
(2020-10-25)
arxiv.orgPDF
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilanuik, David Buckeridge, Gáetan Marceau Caron, Pierre-Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf... (3 more)
arXiv preprint arXiv:2010.12536
(2020-10-23)
arxiv.orgPDF
GraphMix: Improved Training of GNNs for Semi-Supervised Learning.
Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala and Jian Tang
arXiv: Learning
(2020-10-11)
arxiv.orgPDF
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio and Jian Tang
arXiv preprint arXiv:2010.04029
(2020-10-08)
arxiv.orgPDF

2020-08

Robustesse structurelle des architectures d'apprentissage profond
Carlos Lassance, Vincent Gripon, Jian Tang and Antonio Ortega
GRETSI
(2020-08-26)
hal.archives-ouvertes.fr

2020-07

GRADE: Graph Dynamic Embedding.
Simeon E. Spasov, Alessandro Di Stefano, Pietro Liò and Jian Tang
arXiv preprint arXiv:2007.08060
(2020-07-16)
dblp.uni-trier.dePDF
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs
Meng Qu, Tianyu Gao, Louis-Pascal Xhonneux and Jian Tang
ICML 2020
(2020-07-12)
icml.ccPDF
Continuous Graph Neural Networks
Louis-Pascal Xhonneux, Meng Qu and Jian Tang
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang and Jian Tang
Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Haoran Wei, Yashaswi Pathak, Shengchao Liu, Simon Blackburn, Karam Thomas, Connor Coley, Jian Tang, Sarath Chandar and Yoshua Bengio
ICML 2020
(2020-07-12)
icml.cc
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux and Jian Tang
arXiv preprint arXiv:2007.02387
(2020-07-05)
export.arxiv.orgPDF

2020-06

Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu and Jian Tang
arXiv preprint arXiv:2006.13463
(2020-06-24)
ui.adsabs.harvard.eduPDF
Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu and Jian Tang
NEURIPS 2020
(2020-06-01)
papers.nips.cc

2020-05

COVI White Paper.
Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard Janda, Max Jarvie, Tyler Kolody, Sekoul Krastev, Tegan Maharaj, Robert Obryk, Dan Pilat, Valerie Pisano, Benjamin Prud'homme, Meng Qu, Nasim Rahaman, Irina Rish, Jean-Franois Rousseau, Abhinav Sharma, Brooke Struck... (3 more)
arXiv preprint arXiv:2005.08502
(2020-05-18)
dblp.uni-trier.dePDF
Deep Geometric Knowledge Distillation with Graphs
Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang and Antonio Ortega

2020-04

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffman, Vikas Verma and Jian Tang
ICLR 2020
(2020-04-30)
iclr.cc
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang and Jian Tang
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar and Yoshua Bengio
arXiv preprint arXiv:2004.12485
(2020-04-26)
aps.arxiv.orgPDF

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

2020-01

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

2019-12

Probabilistic Logic Neural Networks for Reasoning
Meng Qu and Jian Tang
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang and Jian Tang

2019-11

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li and Jian Tang
arXiv preprint arXiv:1911.06136
(2019-11-13)
dblp.uni-trier.dePDF
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang and Jian Tang
CIKM 2019
(2019-11-03)
dblp.uni-trier.dePDF
GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications
Huawei Shen, Jian Tang and Peng Bao
CIKM 2019
(2019-11-03)
dblp.uni-trier.de
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang and Jian Tang
CIKM 2019
(2019-11-03)
dblp.uni-trier.dePDF

2019-09

Empowering Graph Representation Learning with Paired Training and Graph Co-Attention
Andreea Deac, Yu-Hsiang Huang, Petar Velickovic, Pietro Lio and Jian Tang
(venue unknown)
(2019-09-25)
openreview.netPDF
Transfer Active Learning For Graph Neural Networks
Shengding Hu, Meng Qu, Zhiyuan Liu and Jian Tang
(venue unknown)
(2019-09-25)
openreview.netPDF
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning
Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala and Jian Tang
arXiv preprint arXiv:1909.11715
(2019-09-25)
ui.adsabs.harvard.eduPDF
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier and Yoshua Bengio
arXiv preprint arXiv:1909.00949
(2019-09-25)
ui.adsabs.harvard.eduPDF

2019-08

An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation
Yanru Qu, Ting Bai, Weinan Zhang, Jianyun Nie and Jian Tang
Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data
(2019-08-05)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:1908.04032 (2019-08-12)]
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks.
Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui and Zhiyuan Liu
IJCAI 2019
(2019-08-01)
www.ijcai.org

2019-07

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffmann, Vikas Verma and Jian Tang
arXiv preprint arXiv:1908.01000
(2019-07-31)
arxiv.orgPDF
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng and Jian-Yun Nie
SIGIR 2019
(2019-07-18)
doi.org
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng and Jian-Yun Nie
SIGIR 2019
(2019-07-18)
sigir.orgPDF
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning
arXiv preprint arXiv:1907.03179
(2019-07-06)
dblp.uni-trier.dePDF

2019-06

Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning
Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang and Jian Tang
arXiv preprint arXiv:1906.09506
(2019-06-22)
ui.adsabs.harvard.eduPDF
Learning Powerful Policies by Using Consistent Dynamics Model.
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine and Jian Tang
arXiv preprint arXiv:1906.04355
(2019-06-11)
dblp.uni-trier.dePDF
GMNN: Graph Markov Neural Networks
Structural Robustness for Deep Learning Architectures
Carlos Lassance, Vincent Gripon, Jian Tang and Antonio Ortega
2019 IEEE Data Science Workshop (DSW)
(2019-06-02)
ieeexplore.ieee.org
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
Myriam Bontonou, Carlos Lassance, Ghouthi Boukli Hacene, Vincent Gripon and Jian Tang
2019 IEEE Data Science Workshop (DSW)
(2019-06-02)
hal.archives-ouvertes.frPDF
Structural Robustness for Deep Learning Architectures
Carlos Lassance, Vincent Gripon, Jian Tang and Antonio Ortega
2019 IEEE Data Science Workshop (DSW)
(2019-06-02)
ieeexplore.ieee.orgPDF

2019-05

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Jian Tang and Meng Qu
WWW 2019
(2019-05-13)
hgpu.org
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Jian Tang and Meng Qu
WWW 2019
(2019-05-13)
hgpu.orgPDF
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie and Jian Tang
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Andreea Deac, Yu-Hsiang Huang, Petar Veličković, Pietro Liò and Jian Tang
arXiv preprint arXiv:1905.00534
(2019-05-02)
ui.adsabs.harvard.eduPDF
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
Myriam Bontonou, Carlos Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang and Antonio Ortega
arXiv preprint arXiv:1905.00301
(2019-05-01)
arxiv.orgPDF

2019-03

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang and Ming Zhang

2019-01

Session-Based Social Recommendation via Dynamic Graph Attention Networks
Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang and Jian Tang
Attending Over Triads for Learning Signed Network Embedding
Shagun Sodhani, Meng Qu and Jian Tang
Frontiers in Big Data
(2019-01-01)
www.frontiersin.org

2018-09

Learning powerful policies and better dynamics models by encouraging consistency
Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio and Jian Tang
(venue unknown)
(2018-09-27)
openreview.netPDF
Data Poisoning Attack against Unsupervised Node Embedding Methods
Mingjie Sun, Jian Tang, Huichen Li, Bo Li, Chaowei Xiao, Yao Chen and Dawn Song
arXiv preprint arXiv:1810.12881
(2018-09-27)
ui.adsabs.harvard.eduPDF

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