More from the Same Authors

• 2022 Poster: Neural-Symbolic Models for Logical Queries on Knowledge Graphs »
  Zhaocheng Zhu · Mikhail Galkin · Zuobai Zhang · Jian Tang
• 2022 Spotlight: Neural-Symbolic Models for Logical Queries on Knowledge Graphs »
  Zhaocheng Zhu · Mikhail Galkin · Zuobai Zhang · Jian Tang
• 2021 Poster: Self-supervised Graph-level Representation Learning with Local and Global Structure »
  Minghao Xu · Hang Wang · Bingbing Ni · Hongyu Guo · Jian Tang
• 2021 Spotlight: Self-supervised Graph-level Representation Learning with Local and Global Structure »
  Minghao Xu · Hang Wang · Bingbing Ni · Hongyu Guo · Jian Tang
• 2021 Poster: Learning Gradient Fields for Molecular Conformation Generation »
  Chence Shi · Shitong Luo · Minkai Xu · Jian Tang
• 2021 Poster: An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming »
  Minkai Xu · Wujie Wang · Shitong Luo · Chence Shi · Yoshua Bengio · Rafael Gomez-Bombarelli · Jian Tang
• 2021 Poster: Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction »
  Hangrui Bi · Hengyi Wang · Chence Shi · Connor Coley · Jian Tang · Hongyu Guo
• 2021 Spotlight: Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction »
  Hangrui Bi · Hengyi Wang · Chence Shi · Connor Coley · Jian Tang · Hongyu Guo
• 2021 Spotlight: An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming »
  Minkai Xu · Wujie Wang · Shitong Luo · Chence Shi · Yoshua Bengio · Rafael Gomez-Bombarelli · Jian Tang
• 2021 Oral: Learning Gradient Fields for Molecular Conformation Generation »
  Chence Shi · Shitong Luo · Minkai Xu · Jian Tang
• 2021 Town Hall: Town Hall »
  John Langford · Marina Meila · Tong Zhang · Le Song · Stefanie Jegelka · Csaba Szepesvari
• 2020 Workshop: Bridge Between Perception and Reasoning: Graph Neural Networks & Beyond »
  Jian Tang · Le Song · Jure Leskovec · Renjie Liao · Yujia Li · Sanja Fidler · Richard Zemel · Ruslan Salakhutdinov
• 2020 Poster: A Graph to Graphs Framework for Retrosynthesis Prediction »
  Chence Shi · Minkai Xu · Hongyu Guo · Ming Zhang · Jian Tang
• 2020 Poster: Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning »
  Sai Krishna Gottipati · Boris Sattarov · Sufeng Niu · Yashaswi Pathak · Haoran Wei · Shengchao Liu · Shengchao Liu · Simon Blackburn · Karam Thomas · Connor Coley · Jian Tang · Sarath Chandar · Yoshua Bengio
• 2020 Poster: Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs »
  Meng Qu · Tianyu Gao · Louis-Pascal Xhonneux · Jian Tang
• 2020 Poster: Continuous Graph Neural Networks »
  Louis-Pascal Xhonneux · Meng Qu · Jian Tang
• 2020 Poster: Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search »
  Binghong Chen · Chengtao Li · Hanjun Dai · Le Song
• 2020 Poster: Temporal Logic Point Processes »
  Shuang Li · Lu Wang · Ruizhi Zhang · xiaofu Chang · Xuqin Liu · Yao Xie · Yuan Qi · Le Song
• 2020 Poster: Learning To Stop While Learning To Predict »
  Xinshi Chen · Hanjun Dai · Yu Li · Xin Gao · Le Song
• 2019 Poster: GMNN: Graph Markov Neural Networks »
  Meng Qu · Yoshua Bengio · Jian Tang
• 2019 Poster: Particle Flow Bayes' Rule »
  Xinshi Chen · Hanjun Dai · Le Song
• 2019 Poster: Generative Adversarial User Model for Reinforcement Learning Based Recommendation System »
  Xinshi Chen · Shuang Li · Hui Li · Shaohua Jiang · Yuan Qi · Le Song
• 2019 Oral: Generative Adversarial User Model for Reinforcement Learning Based Recommendation System »
  Xinshi Chen · Shuang Li · Hui Li · Shaohua Jiang · Yuan Qi · Le Song
• 2019 Oral: Particle Flow Bayes' Rule »
  Xinshi Chen · Hanjun Dai · Le Song
• 2019 Oral: GMNN: Graph Markov Neural Networks »
  Meng Qu · Yoshua Bengio · Jian Tang
• 2018 Poster: Adversarial Attack on Graph Structured Data »
  Hanjun Dai · Hui Li · Tian Tian · Xin Huang · Lin Wang · Jun Zhu · Le Song
• 2018 Poster: Towards Black-box Iterative Machine Teaching »
  Weiyang Liu · Bo Dai · Xingguo Li · Zhen Liu · James Rehg · Le Song
• 2018 Poster: SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation »
  Bo Dai · Albert Shaw · Lihong Li · Lin Xiao · Niao He · Zhen Liu · Jianshu Chen · Le Song
• 2018 Oral: Towards Black-box Iterative Machine Teaching »
  Weiyang Liu · Bo Dai · Xingguo Li · Zhen Liu · James Rehg · Le Song
• 2018 Oral: Adversarial Attack on Graph Structured Data »
  Hanjun Dai · Hui Li · Tian Tian · Xin Huang · Lin Wang · Jun Zhu · Le Song
• 2018 Oral: SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation »
  Bo Dai · Albert Shaw · Lihong Li · Lin Xiao · Niao He · Zhen Liu · Jianshu Chen · Le Song
• 2018 Poster: Learning to Explain: An Information-Theoretic Perspective on Model Interpretation »
  Jianbo Chen · Le Song · Martin Wainwright · Michael Jordan
• 2018 Poster: Stochastic Training of Graph Convolutional Networks with Variance Reduction »
  Jianfei Chen · Jun Zhu · Le Song
• 2018 Poster: Learning Steady-States of Iterative Algorithms over Graphs »
  Hanjun Dai · Zornitsa Kozareva · Bo Dai · Alex Smola · Le Song
• 2018 Oral: Stochastic Training of Graph Convolutional Networks with Variance Reduction »
  Jianfei Chen · Jun Zhu · Le Song
• 2018 Oral: Learning Steady-States of Iterative Algorithms over Graphs »
  Hanjun Dai · Zornitsa Kozareva · Bo Dai · Alex Smola · Le Song
• 2018 Oral: Learning to Explain: An Information-Theoretic Perspective on Model Interpretation »
  Jianbo Chen · Le Song · Martin Wainwright · Michael Jordan
• 2017 Poster: Stochastic Generative Hashing »
  Bo Dai · Ruiqi Guo · Sanjiv Kumar · Niao He · Le Song
• 2017 Poster: Variational Policy for Guiding Point Processes »
  Yichen Wang · Grady Williams · Evangelos Theodorou · Le Song
• 2017 Talk: Stochastic Generative Hashing »
  Bo Dai · Ruiqi Guo · Sanjiv Kumar · Niao He · Le Song
• 2017 Talk: Variational Policy for Guiding Point Processes »
  Yichen Wang · Grady Williams · Evangelos Theodorou · Le Song
• 2017 Poster: Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs »
  Rakshit Trivedi · Hanjun Dai · Yichen Wang · Le Song
• 2017 Talk: Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs »
  Rakshit Trivedi · Hanjun Dai · Yichen Wang · Le Song
• 2017 Poster: Fake News Mitigation via Point Process Based Intervention »
  Mehrdad Farajtabar · Jiachen Yang · Xiaojing Ye · Huan Xu · Rakshit Trivedi · Elias Khalil · Shuang Li · Le Song · Hongyuan Zha
• 2017 Poster: Iterative Machine Teaching »
  Weiyang Liu · Bo Dai · Ahmad Humayun · Charlene Tay · Chen Yu · Linda Smith · James Rehg · Le Song
• 2017 Talk: Iterative Machine Teaching »
  Weiyang Liu · Bo Dai · Ahmad Humayun · Charlene Tay · Chen Yu · Linda Smith · James Rehg · Le Song
• 2017 Talk: Fake News Mitigation via Point Process Based Intervention »
  Mehrdad Farajtabar · Jiachen Yang · Xiaojing Ye · Huan Xu · Rakshit Trivedi · Elias Khalil · Shuang Li · Le Song · Hongyuan Zha