Jintang Li (李金膛)
Jintang Li (李金膛)
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A survey of adversarial learning on graphs
L Chen, J Li, J Peng, T Xie, Z Cao, K Xu, X He, Z Zheng
arXiv preprint arXiv:2003.05730, 2020
Phishing scams detection in ethereum transaction network
L Chen, J Peng, Y Liu, J Li, F Xie, Z Zheng
ACM Transactions on Internet Technology (TOIT) 21 (1), 1-16, 2020
Adversarial attack on large scale graph
J Li, T Xie, C Liang, F Xie, X He, Z Zheng
IEEE Transactions on Knowledge and Data Engineering, 2021
Understanding structural vulnerability in graph convolutional networks
L Chen, J Li, Q Peng, Y Liu, Z Zheng, C Yang
arXiv preprint arXiv:2108.06280, 2021
Graphgallery: A platform for fast benchmarking and easy development of graph neural networks based intelligent software
J Li, K Xu, L Chen, Z Zheng, X Liu
2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021
Graph Enhanced Neural Interaction Model for recommendation
L Chen, T Xie, J Li, Z Zheng
Knowledge-Based Systems 246, 108616, 2022
Spiking Graph Convolutional Networks
Z Zhu, J Peng, J Li, L Chen, Q Yu, S Luo
arXiv preprint arXiv:2205.02767, 2022
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders
J Li, R Wu, W Sun, L Chen, S Tian, L Zhu, C Meng, Z Zheng, W Wang
arXiv preprint arXiv:2205.10053, 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
B Wu, J Li, J Yu, Y Bian, H Zhang, CH Chen, C Hou, G Fu, L Chen, T Xu, ...
arXiv preprint arXiv:2205.10014, 2022
Recent advances in reliable deep graph learning: Adversarial attack, inherent noise, and distribution shift
B Wu, J Li, C Hou, G Fu, Y Bian, L Chen, J Huang
arXiv preprint arXiv:2202.07114, 2022
Unifying multi-associations through hypergraph for bundle recommendation
Z Yu, J Li, L Chen, Z Zheng
Knowledge-Based Systems 255, 109755, 2022
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
B Wu, Y Bian, H Zhang, J Li, J Yu, L Chen, C Chen, J Huang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
GUARD: Graph Universal Adversarial Defense
J Li, J Liao, R Wu, L Chen, C Meng, Z Zheng, W Wang
arXiv preprint arXiv:2204.09803, 2022
Neighboring Backdoor Attacks on Graph Convolutional Network
L Chen, Q Peng, J Li, Y Liu, J Chen, Y Li, Z Zheng
arXiv preprint arXiv:2201.06202, 2022
Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective
J Li, Z Gu, Q Peng, K Xu, L Chen, Z Zheng
International Workshop on Human Brain and Artificial Intelligence, 87-101, 2021
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