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Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure


Sep 28, 2022
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang

* Accepted by NeurIPS2022 

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Label-Guided Auxiliary Training Improves 3D Object Detector


Jul 24, 2022
Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang

* Yaomin Huang and Xinmei Liu are with equal contribution. This paper has been accepted by ECCV 2022 

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


Jun 27, 2022
Shengchao Liu, Hongyu Guo, Jian Tang


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Evaluating Self-Supervised Learning for Molecular Graph Embeddings


Jun 16, 2022
Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Matt Kusner, Joan Lasenby, Qi Liu


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PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding


Jun 05, 2022
Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang

* Research project paper. arXiv v1: release all benchmark results (source code will be released soon in the next version) 

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Augmenting Message Passing by Retrieving Similar Graphs


Jun 01, 2022
Dingmin Wang, Shengchao Liu, Hanchen Wang, Linfeng Song, Jian Tang, Song Le, Bernardo Cuenca Grau, Qi Liu


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HIRL: A General Framework for Hierarchical Image Representation Learning


May 26, 2022
Minghao Xu, Yuanfan Guo, Xuanyu Zhu, Jiawen Li, Zhenbang Sun, Jian Tang, Yi Xu, Bingbing Ni

* Research project paper. arXiv v1: all source code and model weights released 

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High-Order Pooling for Graph Neural Networks with Tensor Decomposition


May 24, 2022
Chenqing Hua, Guillaume Rabusseau, Jian Tang


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Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction


May 23, 2022
Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang


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Neural-Symbolic Models for Logical Queries on Knowledge Graphs


May 16, 2022
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang

* ICML 2022 

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