| Unnoticeable Backdoor Attacks on Graph Neural Networks E Dai*, M Lin*, X Zhang, S Wang Proceedings of the ACM Web Conference 2023, 2023 | 57 | 2023 |
| Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function B Wang*, M Lin*, T Zhou*, P Zhou, A Li, M Pang, H Li, Y Chen Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 35* | 2024 |
| Certifiably Robust Graph Contrastive Learning M Lin, T Xiao, E Dai, X Zhang, S Wang Advances in Neural Information Processing Systems 36, 2023 | 17 | 2023 |
| Rethinking graph backdoor attacks: A distribution-preserving perspective Z Zhang, M Lin, E Dai, S Wang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 12 | 2024 |
| Llm and gnn are complementary: Distilling llm for multimodal graph learning J Xu, Z Wu, M Lin, X Zhang, S Wang arXiv preprint arXiv:2406.01032, 2024 | 9 | 2024 |
| Robustness Inspired Graph Backdoor Defense Z Zhang, M Lin, J Xu, Z Wu, E Dai, S Wang The Thirteenth International Conference on Learning Representations, 2025 | 7* | 2025 |
| PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection E Dai*, M Lin*, S Wang arXiv preprint arXiv:2402.04435, 2024 | 6 | 2024 |
| Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation M Lin, Z Chen, Y Liu, X Zhao, Z Wu, J Wang, X Zhang, S Wang, H Chen arXiv preprint arXiv:2410.17462, 2024 | 2 | 2024 |
| Stealing Training Graphs from Graph Neural Networks M Lin, E Dai, J Xu, J Jia, X Zhang, S Wang KDD 2025, 2025 | 1 | 2025 |
| Trojan Prompt Attacks on Graph Neural Networks M Lin, Z Zhang, E Dai, Z Wu, Y Wang, X Zhang, S Wang arXiv preprint arXiv:2410.13974, 2024 | 1 | 2024 |
| Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier Z Hou, M Lin, MA Torkamani, S Wang, X Liu 2024 IEEE 11th International Conference on Data Science and Advanced …, 2024 | 1 | 2024 |
| LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models Z Wu, Y Niu, H Gao, M Lin, Z Zhang, Z Zhang, Q Shi, Y Wang, S Fu, J Xu, ... arXiv preprint arXiv:2502.12359, 2025 | | 2025 |
| Fairness-aware Prompt Tuning for Graph Neural Networks Z Li, M Lin, J Wang, S Wang THE WEB CONFERENCE 2025, 2025 | | 2025 |
Suhang WangPennsylvania State UniversityOverená e-mailová adresa na: psu.edu