Yinhan He

According to our database, Yinhan He authored at least 10 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Global Graph Counterfactual Explanation: A Subgraph Mapping Approach.

Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li

Trans. Mach. Learn. Res., 2025

Demystify Epidemic Containment in Directed Networks: Theory and Algorithms.

Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Edge Prompt Tuning for Graph Neural Networks.

Xingbo Fu, Yinhan He, Jundong Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective.

Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.

Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction.

Yinhan He, Zaiyi Zheng, Patrick Soga, Yaozhen Zhu, Yushun Dong, Jundong Li

CoRR, 2024

Spectral Greedy Coresets for Graph Neural Networks.

Mucong Ding, Yinhan He, Jundong Li, Furong Huang

CoRR, 2024

Safety in Graph Machine Learning: Threats and Safeguards.

Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li

CoRR, 2024

Causal Inference with Latent Variables: Recent Advances and Future Prospectives.

Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs.

Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024