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Wei Jin
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Year
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
1692020
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
1292020
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
1112021
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
742020
Deeprobust: A pytorch library for adversarial attacks and defenses
Y Li*, W Jin*, H Xu, J Tang
arXvi preprint arXiv:2005.06149, 2020
602020
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
542020
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
322021
Graph neural networks: Self-supervised learning
Y Wang, W Jin, T Derr
Graph Neural Networks: Foundations, Frontiers, and Applications, 391-420, 2022
102022
Automated self-supervised learning for graphs
W Jin, X Liu, X Zhao, Y Ma, N Shah, J Tang
International Conference on Learning Representations, 2021
102021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
L Zhao, W Jin, L Akoglu, N Shah
International Conference on Learning Representations, 2021
92021
Graph Condensation for Graph Neural Networks
W Jin, L Zhao, S Zhang, Y Liu, J Tang, N Shah
International Conference on Learning Representations, 2021
82021
Graph neural networks with adaptive residual
X Liu, J Ding, W Jin, H Xu, Y Ma, Z Liu, J Tang
Advances in Neural Information Processing Systems 34, 9720-9733, 2021
72021
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
72021
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
72021
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
62020
Graph Trend Networks for Recommendations
W Fan, X Liu, W Jin, X Zhao, J Tang, Q Li
SIGIR 2022, 2021
5*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
52021
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
E Dai, W Jin, H Liu, S Wang
WSDM 2022, 2022
32022
Graph Neural Networks for Multimodal Single-Cell Data Integration
H Wen, J Ding, W Jin, Y Xie, J Tang
arXiv preprint arXiv:2203.01884, 2022
22022
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
W Jin, Y Li, H Xu, Y Wang, S Ji, C Aggarwal, J Tang
arXiv preprint arXiv:2003.00653, 2021
22021
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