| Trustworthy Graph Neural Networks: Aspects, Methods, and Trends H Zhang, B Wu, X Yuan, S Pan, H Tong, J Pei Proceedings of the IEEE (PIEEE), 2024 | 93 | 2024 |
| Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y Zheng, H Zhang, V Lee, Y Zheng, X Wang, S Pan International Conference on Machine Learning (ICML), 2023 | 34 | 2023 |
| Projective ranking: A transferable evasion attack method on graph neural networks H Zhang, B Wu, X Yang, C Zhou, S Wang, X Yuan, S Pan ACM International Conference on Information & Knowledge Management (CIKM …, 2021 | 32 | 2021 |
| A Survey on Fairness-aware Recommender Systems D Jin, L Wang, H Zhang, Y Zheng, W Ding, F Xia, S Pan Information Fusion, 2023 | 29 | 2023 |
| Projective Ranking-based GNN Evasion Attacks H Zhang, X Yuan, C Zhou, S Pan IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 | 19 | 2022 |
| Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks H Zhang, X Yuan, S Pan IEEE International Conference on Data Engineering (ICDE), 2024 | 18* | 2024 |
| Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks H Zhang, B Wu, S Wang, X Yang, M Xue, S Pan, Y Xingliang International Conference on Machine Learning (ICML), 2023 | 18 | 2023 |
| AMI-Net: convolution neural networks with affine moment invariants Y Hao, Q Li, H Mo, H Zhang, H Li IEEE Signal Processing Letters 25 (7), 1064-1068, 2018 | 15 | 2018 |
| GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks B Wu, H Zhang, X Yang, S Wang, M Xue, S Pan, X Yuan The Network and Distributed System Security Symposium (NDSS), 2024 | 6 | 2024 |
| Fast and efficient calculations of structural invariants of chirality H Zhang, H Mo, Y Hao, Q Li, S Li, H Li Pattern Recognition Letters 128, 270-277, 2019 | 3 | 2019 |
| GOODAT: Towards Test-time Graph Out-of-Distribution Detection L Wang, D He, H Zhang, Y Liu, W Wang, S Pan, D Jin, TS Chua The Annual AAAI Conference on Artificial Intelligence (AAAI) (Oral), 2024 | 2 | 2024 |
| Dual affine moment invariants Y Hao, H Mo, Q Li, H Zhang, H Li arXiv preprint arXiv:1911.08233, 2019 | 2 | 2019 |
| Differential and integral invariants under Möbius transformation H Zhang, H Mo, Y Hao, Q Li, H Li Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018 …, 2018 | 2 | 2018 |
| A rotation invariant descriptor using multi-directional and high-order gradients H Mo, Q Li, Y Hao, H Zhang, H Li Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018 …, 2018 | 2 | 2018 |
| Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks H Zhang, B Wu, X Yang, X Yuan, C Zhang, S Pan arXiv preprint arXiv:2405.14407, 2024 | | 2024 |
| The construction and application of integral invariants and differential invariants of graphics and images MO Han-lin, HAO You, GUO Rui, HAO Hong-xiang, Z He, LI Qi, LI Hua Journal of Graphics 43 (6), 1182, 2022 | | 2022 |
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith UniversityVerified email at griffith.edu.au
