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Yu Rong
Yu Rong
Alibaba DAMO Academy
Verified email at alibaba-inc.com - Homepage
Title
Cited by
Cited by
Year
Dropedge: Towards deep graph convolutional networks on node classification
Y Rong, W Huang, T Xu, J Huang
International Conference on Learning Representations, 2019
14402019
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, 2020
6632020
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
5722020
Adaptive sampling towards fast graph representation learning
W Huang, T Zhang, Y Rong, J Huang
Advances in neural information processing systems 31, 4558-4567, 2018
5572018
Graph Convolutional Networks for Temporal Action Localization
R Zeng, W Huang, M Tan, Y Rong, P Zhao, J Huang, C Gan
Proceedings of the IEEE International Conference on Computer Vision, 7094-7103, 2019
5542019
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
5422020
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 Conference on Computer Vision and Pattern …, 2019
4582019
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, 2020
2282020
FedGraphNN: A Federated Learning Benchmark System for Graph Neural Networks
C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ...
ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML), 2021
185*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
1492020
Graph Information Bottleneck for Subgraph Recognition
J Yu, T Xu, Y Rong, Y Bian, J Huang, R He
International Conference on Learning Representations (ICLR 2021), 2021
1472021
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
J Li, Y Rong, H Cheng, H Meng, W Huang, J Huang
The World Wide Web Conference, 972-982, 2019
1462019
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
1152022
Cross-Dependent Graph Neural Networks for Molecular Property Prediction
H Ma, Y Bian, Y Rong, W Huang, T Xu, W Xie, G Ye, J Huang
Bioinformatics, 2022
101*2022
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
992022
Tackling Over-Smoothing for General Graph Convolutional Networks
W Huang, Y Rong, T Xu, F Sun, J Huang
arXiv preprint arXiv:2008.09864, 2020
992020
Adversarial Attack on Community Detection by Hiding Individuals
J Li, H Zhang, Z Han, Y Rong, H Cheng, J Huang
Proceedings of The Web Conference 2020, 917-927, 2020
872020
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
84*2023
Geometrically Equivariant Graph Neural Networks: A Survey
J Han, Y Rong, T Xu, W Huang
arXiv preprint arXiv:2202.07230, 2022
662022
Molecular graph enhanced transformer for retrosynthesis prediction
K Mao, X Xiao, T Xu, Y Rong, J Huang, P Zhao
Neurocomputing 457, 193-202, 2021
612021
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Articles 1–20