Wei Jin
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Graph Structure Learning for Robust Graph Neural Networks
W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
W Jin, Y Li, H Xu, Y Wang, S Ji, CC Aggarwal, J Tang
ACM SIGKDD Explorations Newsletter, 2021
Self-supervised learning on graphs: Deep insights and new direction
W Jin, T Derr, H Liu, Y Wang, S Wang, Z Liu, J Tang
arXiv preprint arXiv:2006.10141, 2020
Traffic flow prediction via spatial temporal graph neural network
X Wang, Y Ma, Y Wang, W Jin, X Wang, J Tang, C Jia, J Yu
Proceedings of The Web Conference 2020, 1082-1092, 2020
Deeprobust: A pytorch library for adversarial attacks and defenses
Y Li*, W Jin*, H Xu, J Tang
arXiv preprint arXiv:2005.06149, 2020
Node Similarity Preserving Graph Convolutional Networks
W Jin, T Derr, Y Wang, Y Ma, Z Liu, J Tang
Proceedings of the 14th International Conference on Web Search and Data Mining, 2020
Elastic graph neural networks
X Liu, W Jin, Y Ma, Y Li, H Liu, Y Wang, M Yan, J Tang
International Conference on Machine Learning, 6837-6849, 2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
H Liu, W Jin, H Karimi, Z Liu, J Tang
Findings of ACL 2021, 2021
Adversarial Attacks and Defenses: Frontiers, Advances and Practice
H Xu, Y Li, W Jin, J Tang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Automated Self-Supervised Learning for Graphs
W Jin, X Liu, X Zhao, Y Ma, N Shah, J Tang
arXiv preprint arXiv:2106.05470, 2021
DeepRobust: a Platform for Adversarial Attacks and Defenses
Y Li, W Jin, H Xu, J Tang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16078 …, 2021
Graph Neural Networks: Self-supervised Learning
Y Wang, W Jin, T Derr
Graph Neural Networks: Foundations, Frontiers, and Applications, Lingfei Wu …, 2021
Graph Representation Learning: Foundations, Methods, Applications and Systems
W Jin, Y Ma, Y Wang, X Liu, J Tang, Y Cen, J Qiu, J Tang, C Shi, Y Ye, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Graph Trend Networks for Recommendations
W Fan, X Liu, W Jin, X Zhao, J Tang, Q Li
arXiv preprint arXiv:2108.05552, 2021
Localized Graph Collaborative Filtering
Y Wang, C Li, M Li, W Jin, Y Liu, H Sun, X Xie
arXiv preprint arXiv:2108.04475, 2021
Jointly Attacking Graph Neural Network and its Explanations
W Fan, W Jin, X Liu, H Xu, X Tang, S Wang, Q Li, J Tang, J Wang, ...
arXiv preprint arXiv:2108.03388, 2021
Graph Feature Gating Networks
W Jin, X Liu, Y Ma, T Derr, C Aggarwal, J Tang
arXiv preprint arXiv:2105.04493, 2021
Graph Mining with Graph Neural Networks
W Jin
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
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