| Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels J Yuan, H Yu, M Cao, J Song, J Xie, C Wang Applied Intelligence 53 (21), 25154-25170, 2023 | 4 | 2023 |
| FairHELP: Fairness-aware heterogeneous information network embedding for link prediction M Cao, J Song, J Yuan, B Zhang, C Wang International Conference on Database Systems for Advanced Applications, 320-330, 2023 | 1 | 2023 |
| Graph Neural Networks with Coarse-and Fine-Grained Division for Mitigating Label Sparsity and Noise S Li, B Zhang, J Song, G Ruan, C Wang, J Xie arXiv preprint arXiv:2411.03744, 2024 | | 2024 |
| Similarity-Navigated Conformal Prediction for Graph Neural Networks J Song, J Huang, W Jiang, B Zhang, S Li, C Wang Advances in Neural Information Processing Systems (NeurIPS 2024), 2024 | | 2024 |
| Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation S Li, B Zhang, J Song, Y Xia, J Xie, C Wang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding M Cao, M Chen, J Song, C Fang, C Wang ECAI 2023, 343-350, 2023 | | 2023 |
| Fahin: A Unified Framework for Fair Representation Learning on Heterogeneous Information Networks M Cao, H Yu, M Chen, J Song, C Wang Available at SSRN 4918430, 0 | | |
Chongjun WangNanjing UniversityVerified email at nju.edu.cn