Tingyang Xu
Tingyang Xu
Tencent AI Lab
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Dropedge: Towards deep graph convolutional networks on node classification
Y Rong, W Huang, T Xu, J Huang
arXiv preprint arXiv:1907.10903, 2019
Self-supervised graph transformer on large-scale molecular data
Y Rong, Y Bian, T Xu, W Xie, Y Wei, W Huang, J Huang
Advances in neural information processing systems 33, 12559-12571, 2020
Rumor detection on social media with bi-directional graph convolutional networks
T Bian, X Xiao, T Xu, P Zhao, W Huang, Y Rong, J Huang
Proceedings of the AAAI conference on artificial intelligence 34 (01), 549-556, 2020
Graph representation learning via graphical mutual information maximization
Z Peng, W Huang, M Luo, Q Zheng, Y Rong, T Xu, J Huang
Proceedings of The Web Conference 2020, 259-270, 2020
Progressive feature alignment for unsupervised domain adaptation
C Chen, W Xie, W Huang, Y Rong, X Ding, Y Huang, T Xu, J Huang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Deep multimodal fusion by channel exchanging
Y Wang, W Huang, F Sun, T Xu, Y Rong, J Huang
Advances in neural information processing systems 33, 4835-4845, 2020
MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm
Q Bai, S Tan, T Xu, H Liu, J Huang, X Yao
Briefings in bioinformatics 22 (3), bbaa161, 2021
A restricted black-box adversarial framework towards attacking graph embedding models
H Chang, Y Rong, T Xu, W Huang, H Zhang, P Cui, W Zhu, J Huang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3389-3396, 2020
Graph information bottleneck for subgraph recognition
J Yu, T Xu, Y Rong, Y Bian, J Huang, R He
arXiv preprint arXiv:2010.05563, 2020
Generative models for de novo drug design
X Tong, X Liu, X Tan, X Li, J Jiang, Z Xiong, T Xu, H Jiang, N Qiao, ...
Journal of Medicinal Chemistry 64 (19), 14011-14027, 2021
Transformer for graphs: An overview from architecture perspective
E Min, R Chen, Y Bian, T Xu, K Zhao, W Huang, P Zhao, J Huang, ...
arXiv preprint arXiv:2202.08455, 2022
Tackling over-smoothing for general graph convolutional networks
W Huang, Y Rong, T Xu, F Sun, J Huang
arXiv preprint arXiv:2008.09864, 2020
Local augmentation for graph neural networks
S Liu, R Ying, H Dong, L Li, T Xu, Y Rong, P Zhao, J Huang, D Wu
International conference on machine learning, 14054-14072, 2022
Dtwnet: a dynamic time warping network
X Cai, T Xu, J Yi, J Huang, S Rajasekaran
Advances in neural information processing systems 32, 2019
Application advances of deep learning methods for de novo drug design and molecular dynamics simulation
Q Bai, S Liu, Y Tian, T Xu, AJ Banegas‐Luna, H Pérez‐Sánchez, J Huang, ...
Wiley Interdisciplinary Reviews: Computational Molecular Science 12 (3), e1581, 2022
Drugood: Out-of-distribution dataset curator and benchmark for ai-aided drug discovery–a focus on affinity prediction problems with noise annotations
Y Ji, L Zhang, J Wu, B Wu, L Li, LK Huang, T Xu, Y Rong, J Ren, D Xue, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8023-8031, 2023
Multi-view sparse co-clustering via proximal alternating linearized minimization
J Sun, J Lu, T Xu, J Bi
International Conference on Machine Learning, 757-766, 2015
Geometrically equivariant graph neural networks: A survey
J Han, Y Rong, T Xu, W Huang
arXiv preprint arXiv:2202.07230, 2022
Multi-view graph neural networks for molecular property prediction
H Ma, Y Bian, Y Rong, W Huang, T Xu, W Xie, G Ye, J Huang
arXiv preprint arXiv:2005.13607, 2020
Molecular graph enhanced transformer for retrosynthesis prediction
K Mao, X Xiao, T Xu, Y Rong, J Huang, P Zhao
Neurocomputing 457, 193-202, 2021
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