Yu Rong
Yu Rong
Tencent AI Lab
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Cited by
Cited by
Dropedge: Towards deep graph convolutional networks on node classification
Y Rong, W Huang, T Xu, J Huang
International Conference on Learning Representations, 2019
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
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
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
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
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
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
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
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
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
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
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
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
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
Tackling Over-Smoothing for General Graph Convolutional Networks
W Huang, Y Rong, T Xu, F Sun, J Huang
arXiv preprint arXiv:2008.09864, 2020
A Monte Carlo algorithm for cold start recommendation
Y Rong, X Wen, H Cheng
Proceedings of the 23rd international conference on World wide web, 327-336, 2014
Spectral Graph Attention Network with Fast Eigen-approximation
H Chang, Y Rong, T Xu, W Huang, S Sojoudi, J Huang, W Zhu
Proceedings of the 30th ACM International Conference on Information …, 2021
TATC: Predicting Alzheimer's Disease with Actigraphy Data
J Li, Y Rong, H Meng, Z Lu, T Kwok, H Cheng
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
A model-free approach to infer the diffusion network from event cascade
Y Rong, Q Zhu, H Cheng
Proceedings of the 25th ACM international on conference on information and …, 2016
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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