Jian Tang (唐建）
HEC Montréal
H-index: 48
North America-Canada
Top articles of Jian Tang (唐建）
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Evaluating self-supervised learning for molecular graph embeddings | NeurIPS 2023 Datasets & Benchmarks | Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby | 2022/6/16 |
Multi-modal molecule structure–text model for text-based retrieval and editing | Nature Machine Intelligence | Shengchao Liu Weili Nie Chengpeng Wang Jiarui Lu Zhuoran Qiao | 2023/12 |
Learning on Large-scale Text-attributed Graphs via Variational Inference | arXiv preprint arXiv:2210.14709 | Jianan Zhao Meng Qu Chaozhuo Li Hao Yan Qian Liu | 2022/10/26 |
Iterative graph self-distillation | IEEE Transactions on Knowledge and Data Engineering (arXiv preprint arXiv:2010.12609) | Hanlin Zhang Shuai Lin Weiyang Liu Pan Zhou Jian Tang | 2023 |
Molecular geometry pretraining with se (3)-invariant denoising distance matching | ICLR'23 | Shengchao Liu Hongyu Guo Jian Tang | 2023/5 |
FusionRetro: molecule representation fusion via in-context learning for retrosynthetic planning | Proceedings of the 40th International Conference on Machine Learning (ICML) | Songtao Liu Zhengkai Tu Minkai Xu Zuobai Zhang Lu Lin | 2023/7/23 |
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking | ICLR'23 | Yangtian Zhang Huiyu Cai Chence Shi Bozitao Zhong Jian Tang | 2023/5 |
A group symmetric stochastic differential equation model for molecule multi-modal pretraining | Shengchao Liu Weitao Du Zhi-Ming Ma Hongyu Guo Jian Tang | 2023/7/3 | |
Protein representation learning by geometric structure pretraining | arXiv preprint arXiv:2203.06125 | Zuobai Zhang Minghao Xu Arian Jamasb Vijil Chenthamarakshan Aurelie Lozano | 2022/3/11 |
Protst: Multi-modality learning of protein sequences and biomedical texts | Minghao Xu Xinyu Yuan Santiago Miret Jian Tang | 2023/7/3 | |
Protein sequence and structure co-design with equivariant translation | ICLR'23 | Chence Shi Chuanrui Wang Jiarui Lu Bozitao Zhong Jian Tang | 2023/5 |
High-Order Pooling for Graph Neural Networks with Tensor Decomposition | Advances in Neural Information Processing Systems | Chenqing Hua Guillaume Rabusseau Jian Tang | 2022/12/6 |
Structured Multi-task Learning for Molecular Property Prediction | AISTATS 2022 | Shengchao Liu Meng Qu Zuobai Zhang Huiyu Cai Jian Tang | 2022/2/22 |
Inductive Logical Query Answering in Knowledge Graphs | NeurIPS'22 | Mikhail Galkin Zhaocheng Zhu Hongyu Ren Jian Tang | 2022/10/13 |
Torchdrug: A powerful and flexible machine learning platform for drug discovery | arXiv preprint arXiv:2202.08320 | Zhaocheng Zhu Chence Shi Zuobai Zhang Shengchao Liu Minghao Xu | 2022/2/16 |
Weakly-supervised temporal path representation learning with contrastive curriculum learning | Sean Bin Yang Chenjuan Guo Jilin Hu Bin Yang Jian Tang | 2022/5/9 | |
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure | Advances in Neural Information Processing Systems | Shaohua Fan Xiao Wang Yanhu Mo Chuan Shi Jian Tang | 2022/12/6 |
Generative coarse-graining of molecular conformations | arXiv preprint arXiv:2201.12176 | Wujie Wang Minkai Xu Chen Cai Benjamin Kurt Miller Tess Smidt | 2022/1/28 |
Neural Structured Prediction for Inductive Node Classification | Meng Qu Huiyu Cai Jian Tang | 2022/5 | |
Neural-symbolic models for logical queries on knowledge graphs | Zhaocheng Zhu Mikhail Galkin Zuobai Zhang Jian Tang | 2022/6/28 |
Co-Authors
