Scalable attack on graph data by injecting vicious nodes J Wang, M Luo, F Suya, J Li, Z Yang, Q Zheng Data Mining and Knowledge Discovery 34, 1363-1389, 2020 | 78 | 2020 |
Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective J Wang, M Luo, J Li, Y Lin, Y Dong, JS Dong, Q Zheng Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
Robust unsupervised graph representation learning via mutual information maximization J Wang, M Luo, J Li, Z Liu, J Zhou, Q Zheng arXiv preprint arXiv:2201.08557, 2022 | 2 | 2022 |
Toward enhanced robustness in unsupervised graph representation learning: A graph information bottleneck perspective J Wang, M Luo, J Li, Z Liu, J Zhou, Q Zheng IEEE Transactions on Knowledge and Data Engineering, 2023 | 1 | 2023 |
Disentangled Representation Learning with Transmitted Information Bottleneck Z Dang, M Luo, C Jia, G Dai, J Wang, X Chang, J Wang, Q Zheng arXiv preprint arXiv:2311.01686, 2023 | 1 | 2023 |
Disentangled Generation with Information Bottleneck for Enhanced Few-Shot Learning Z Dang, M Luo, J Wang, C Jia, C Yan, G Dai, X Chang, Q Zheng IEEE Transactions on Image Processing, 2024 | | 2024 |