Jian Tang

发表

Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures pdf

Yoshua Bengio, Jian Tang, Yoshihide Sawada, 2019, ArXiv.

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing pdf

Yang Zhang, Christopher Joseph Pal, Bernhard Schölkopf, 2020, ArXiv.

DeepInf: Social Influence Prediction with Deep Learning

Yuxiao Dong, Jie Tang, Hao Ma, 2018, KDD.

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization pdf

Jian Tang, Jordan Hoffmann, Fan-Yun Sun, 2019, ICLR.

TUAL INFORMATION MAXIMIZATION

Vikas Verma, Jordan Hoffmann, Jian Tang, 2020 .

L G ] 1 1 Se p 20 19 STRUCTURAL ROBUSTNESS FOR DEEP LEARNING ARCHITECTURES

Jian Tang, V. Gripon, C. Lassance, 2019 .

DeepInf : Modeling Influence Locality in Large Social Networks

Yuxiao Dong, Jie Tang, Hao Ma, 2018 .

Embedding through Large-scale Heterogeneous Text Networks

Jian Tang, 2015 .

Learning Powerful Policies by Using Consistent Dynamics Model pdf

Sergey Levine, Yoshua Bengio, Tristan Deleu, 2019, ArXiv.

A Graph to Graphs Framework for Retrosynthesis Prediction

Jian Tang, Ming Zhang, Hongyu Guo, 2020, ICML.

GraphMix: Improved Training of Graph Neural Networks for Semi-Supervised Learning

Yoshua Bengio, Alex Lamb, Juho Kannala, 2020 .

SUPPLEMENTARY MATERIAL-LEARNING TO NAVIGATE THE SYNTHETICALLY ACCESSIBLE CHEMICAL SPACE USING REINFORCEMENT LEARNING

Connor W. Coley, Sai Krishna Gottipati, Shengchao Liu, 2020 .

Learning powerful policies and better dynamics models by encouraging consistency

Yoshua Bengio, Tristan Deleu, Anirudh Goyal, 2018 .

Graph Policy Network for Transferable Active Learning on Graphs

Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang, 2020, NeurIPS.

COVI White Paper pdf

Yoshua Bengio, Tristan Deleu, Tegan Maharaj, 2020, ArXiv.

High-Order Pooling for Graph Neural Networks with Tensor Decomposition

Jian Tang, Chenqing Hua, Guillaume Rabusseau, 2022, ArXiv.

COVI White Paper-Version 1.1

Yoshua Bengio, Tristan Deleu, Tegan Maharaj, 2020 .

Pre-training Molecular Graph Representation with 3D Geometry

Shengchao Liu, Jian Tang, Weiyang Liu, 2021, ICLR.

Augmenting Message Passing by Retrieving Similar Graphs

Shengchao Liu, Jian Tang, B. C. Grau, 2022, ArXiv.

Evaluating Self-Supervised Learning for Molecular Graph Embeddings

Matt J. Kusner, Shengchao Liu, Jian Tang, 2022, 2206.08005.

Pre-training Molecular Graph Representation with 3D Geometry pdf

Joan Lasenby, Weiyang Liu, Hanchen Wang, 2021, ArXiv.

Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching

Shengchao Liu, Jian Tang, Hongyu Guo, 2022, ArXiv.

Generative Coarse-Graining of Molecular Conformations

Benjamin Kurt Miller, Jian Tang, Yusu Wang, 2022, ICML.

Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering

Jian Tang, Cuiping Li, Jing Zhang, 2022, ACL.

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Weinan Zhang, Jian Tang, Ming Zhang, 2020, ICLR.

Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs

Jian Tang, I. Barrett, O. Engkvist, 2021, Briefings Bioinform..

Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction

Jian Tang, Chence Shi, Connor W. Coley, 2021, ICML.

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Weinan Zhang, Jian Tang, Ming Zhang, 2020, ICLR.

High-Order Pooling for Graph Neural Networks with Tensor Decomposition

Jian Tang, Chenqing Hua, Guillaume Rabusseau, 2022, NeurIPS.

Evaluating Self-Supervised Learning for Molecular Graph Embeddings

Matt J. Kusner, Shengchao Liu, Jian Tang, 2022, ArXiv.

Flaky Performances when Pre-Training on Relational Databases with a Plan for Future Characterization Efforts

Shengchao Liu, Jian Tang, David Vázquez, 2022 .

Learning on Large-scale Text-attributed Graphs via Variational Inference

Jian Tang, Meng Qu, Jianan Zhao, 2022, ArXiv.

Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs

Jian Tang, Meng Qu, Louis-Pascal Xhonneux, 2020, ICML 2020.

Transfer Active Learning For Graph Neural Networks

Jian Tang, Zhiyuan Liu, Meng Qu, 2019 .

RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs pdf

Jian Tang, Junkun Chen, Meng Qu, 2020, ICLR.

Flaky Performances when Pretraining on Relational Databases

Shengchao Liu, Jian Tang, David Vázquez, 2022, AAAI.

Structural Robustness for Deep Learning Architectures

Vincent Gripon, Antonio Ortega, Jian Tang, 2019, 2019 IEEE Data Science Workshop (DSW).

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

Jian Tang, Ming Zhang, Weiping Song, 2018, CIKM.

Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning

Jiawei Han, Jian Tang, Meng Qu, 2018, WSDM.

Predicting Infectiousness for Proactive Contact Tracing pdf

Tristan Deleu, Tegan Maharaj, Irina Rish, 2020, ICLR.

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

Zhiyuan Liu, Jian Tang, Juan-Zi Li, 2019, Transactions of the Association for Computational Linguistics.

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning pdf

Yoshua Bengio, Sufeng Niu, Yashaswi Pathak, 2020, ICML.

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space pdf

Jian-Yun Nie, Zhi-Hong Deng, Zhiqing Sun, 2018, ICLR.

Contextualized Non-local Neural Networks for Sequence Learning

Xuanjing Huang, Jackie Chi Kit Cheung, Pengfei Liu, 2018, AAAI.

Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching

Shengchao Liu, Jian Tang, Hongyu Guo, 2022, ICLR.

GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

S. Ermon, Jian Tang, Lantao Yu, 2022, ICLR.

Drug-Drug Adverse Effect Prediction with Graph Co-Attention pdf

Pietro Liò, Jian Tang, Petar Velickovic, 2019, ArXiv.

vGraph: A Generative Model for Joint Community Detection and Node Representation Learning

Jian Tang, Meng Qu, Chin-Wei Huang, 2019, NeurIPS.

Learning Dynamic Belief Graphs to Generalize on Text-Based Games

William L. Hamilton, Marc-Alexandre Côté, Adam Trischler, 2020, NeurIPS.

GMNN: Graph Markov Neural Networks pdf

Yoshua Bengio, Jian Tang, Meng Qu, 2019, ICML.

An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming

Jian Tang, Shitong Luo, Chence Shi, 2021, ICML.

Learning Gradient Fields for Molecular Conformation Generation

Jian Tang, Shitong Luo, Chence Shi, 2021, ICML.

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Jian Tang, Xiao Wang, Shaohua Fan, 2022, NeurIPS.

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction pdf

Jian Tang, Louis-Pascal Xhonneux, Zhaocheng Zhu, 2021, NeurIPS.

Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks

Maosong Sun, Jian Tang, Cheng Yang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Data Poisoning Attack against Unsupervised Node Embedding Methods pdf

Mingjie Sun, Dawn Xiaodong Song, Bo Li, 2018, ArXiv.

Self-supervised Graph-level Representation Learning with Local and Global Structure pdf

Bingbing Ni, Jian Tang, Minghao Xu, 2021, ICML.

GraphMix: Improved Training of GNNs for Semi-Supervised Learning

Juho Kannala, Jian Tang, Kenji Kawaguchi, 2020, AAAI.

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning

Yoshua Bengio, Alex Lamb, Juho Kannala, 2019, ArXiv.

An Attention-based Collaboration Framework for Multi-View Network Representation Learning

Jiawei Han, Xiang Ren, Ming Zhang, 2017, CIKM.

Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks

Maosong Sun, Jian Tang, Zhiyuan Liu, 2019, IJCAI.

Continuous Graph Neural Networks pdf

Jian Tang, Meng Qu, Louis-Pascal A. C. Xhonneux, 2019, ICML.

COVI White Paper pdf

Yoshua Bengio, Tristan Deleu, Tegan Maharaj, 2020, ArXiv.

Probabilistic Logic Neural Networks for Reasoning

Jian Tang, Meng Qu, Jian Tang, 2019, NeurIPS.

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs

Jian Tang, Meng Qu, Tianyu Gao, 2020, ICML.

An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation

Weinan Zhang, Ting Bai, Yanru Qu, 2019, Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data.

Differentiable Feature Aggregation Search for Knowledge Distillation pdf

Kaigui Bian, Yushuo Guan, Jian Tang, 2020, ECCV.

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search

Jian Tang, Yanzhi Wang, Kaigui Bian, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games pdf

Romain Laroche, Pascal Poupart, Jian Tang, 2020, ArXiv.

Learning on Large-scale Text-attributed Graphs via Variational Inference

Jian Tang, Meng Qu, Rui Li, 2022, ICLR.

Towards Interpretable Natural Language Understanding with Explanations as Latent Variables

Chenyan Xiong, Maosong Sun, Jian Tang, 2020, NeurIPS.

Session-Based Social Recommendation via Dynamic Graph Attention Networks

Jian Tang, Ming Zhang, Weiping Song, 2019, WSDM.

Human Pose Transfer with Disentangled Feature Consistency

Jian Tang, Zhengping Che, Chengxiang Yin, 2021, ArXiv.

CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization

Jian Tang, Changshui Zhang, Ning Liu, 2021, IEEE transactions on neural networks and learning systems.

Neural Algorithmic Reasoners are Implicit Planners pdf

Andreea Deac, Pierre-Luc Bacon, Petar Velivckovi'c, 2021, NeurIPS.

Graph neural induction of value iteration pdf

Jian Tang, Andreea Deac, Pierre-Luc Bacon, 2020, ArXiv.

How to transfer algorithmic reasoning knowledge to learn new algorithms? pdf

Petar Velickovic, Andreea Deac, Louis-Pascal A. C. Xhonneux, 2021, NeurIPS.

Make A Long Image Short: Adaptive Token Length for Vision Transformers pdf

Yi Wang, Yichen Zhu, Zhicai Ou, 2021, ECML/PKDD.

XLVIN: eXecuted Latent Value Iteration Nets pdf

Jian Tang, Andreea Deac, Pierre-Luc Bacon, 2020, ArXiv.

Sobolev Wasserstein GAN pdf

Weinan Zhang, Yong Yu, Zhiming Zhou, 2020, ArXiv.

Inductive Logical Query Answering in Knowledge Graphs

Jian Tang, Hongyu Ren, Mikhail Galkin, 2022, NeurIPS.

Evaluating Self-Supervised Learning for Molecular Graph Embeddings

Matt J. Kusner, Shengchao Liu, Jian Tang, 2022, ArXiv.

Training BatchNorm Only in Neural Architecture Search and Beyond pdf

Yi Wang, Jie Du, Yichen Zhu, 2021, ArXiv.

Iterative Graph Self-Distillation

E. Xing, Xiaodan Liang, Pan Zhou, 2020, IEEE Transactions on Knowledge and Data Engineering.

Adversarial Network Embedding

Dan Wang, Qiang Li, Quanyu Dai, 2017, AAAI.

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

Jian Tang, Shizhen Xu, Meng Qu, 2019, WWW.

Deep Geometric Knowledge Distillation with Graphs

Vincent Gripon, Ghouthi Boukli Hacene, Antonio Ortega, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Evolving Computation Graphs

Jian Tang, Andreea Deac, 2023, ArXiv.

Learning Neural Generative Dynamics for Molecular Conformation Generation

Yoshua Bengio, Jian Peng, Jian Tang, 2021, ICLR.

Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction

Jian Tang, Ming Zhang, Luchen Liu, 2018, AAAI.

Joint Modeling of Visual Objects and Relations for Scene Graph Generation

Bingbing Ni, Jian Tang, Meng Qu, 2021, NeurIPS.

GRADE: Graph Dynamic Embedding

Simeon E. Spasov, P. Lio’, Jian Tang, 2020, ArXiv.

Softmax Optimizations for Intel Xeon Processor-based Platforms pdf

Jian Tang, Jacek Czaja, Michal Gallus, 2019, ArXiv.

An Empirical Study of Retrieval-enhanced Graph Neural Networks

Shengchao Liu, Jian Tang, B. C. Grau, 2022, 2206.00362.

Neural Structured Prediction for Inductive Node Classification

Jian Tang, Meng Qu, Huiyu Cai, 2022, ICLR.

Evaluating Self-Supervised Learning for Molecular Graph Embeddings

Matt J. Kusner, Shengchao Liu, Jian Tang, 2022, NeurIPS.

PixelSNE: Pixel‐Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen‐Resolution Precision

Jian Tang, Jaegul Choo, Haesun Park, 2018, Comput. Graph. Forum.

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search

Jian Tang, Yanzhi Wang, Kaigui Bian, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Iterative Graph Self-Distillation

E. Xing, Xiaodan Liang, Pan Zhou, 2020, IEEE Transactions on Knowledge and Data Engineering.

GraphMix: Improved Training of GNNs for Semi-Supervised Learning

Alex Lamb, Juho Kannala, Y. Bengio, 2020, AAAI.

PixelSNE: Pixel‐Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen‐Resolution Precision

Haesun Park, Jian Tang, J. Choo, 2018, Comput. Graph. Forum.

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding pdf

Jian Tang, Jaegul Choo, Haesun Park, 2016, ArXiv.

Weakly-supervised Knowledge Graph Alignment with Adversarial Learning pdf

Yoshua Bengio, Jian Tang, Meng Qu, 2019, ArXiv.

Towards Interpretable Natural Language Understanding with Explanations as Latent Variables

Chenyan Xiong, Maosong Sun, Jian Tang, 2020, NeurIPS.

Non-autoregressive electron flow generation for reaction prediction pdf

Chence Shi, Hengyi Wang, Jian Tang, 2020, ArXiv.