Publications

Tutorials

1. Causal Inference with Latent Variables: Recent Advances and Future Perspectives [PDF] [Code] [Slides] [Website]
   Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024).

Preprint

1. Global Graph Counterfactual Explanation: A Subgraph Mapping Approach [PDF] [Code] [Slides]
   Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li

2. Safety in Graph Machine Learning: Threats and Safeguards [PDF] [Code] [Slides]
   Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li

Conference Publications

2025

1. Demystify Epidemic Containment in Directed Networks: Theory and Algorithms [PDF] [Code] [Slides]
   Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li
   ACM International Conference on Web Search and Data Mining (WSDM 2025).

2. Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning [PDF] [Code] [Slides]
   Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
   Annual AAAI Conference on Artificial Intelligence (AAAI 2025).

3. Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective [PDF] [Code] [Slides]
   Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
   International Conference on Learning Representations (ICLR 2025).

4. Edge Prompt Tuning for Graph Neural Networks. [PDF] [Code] [Slides]
   Xingbo Fu, Yinhan He, Jundong Li
   International Conference on Learning Representations (ICLR 2025).

2024

1. Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs [PDF] [Code] [Slides]
   Yinhan He, Zaiyi Zheng, Patrick Soga, Yaochen Zhu, Yushun Dong, Jundong Li
   Empirical Methods in Natural Language Processing (EMNLP 2024).

2. Causal Inference with Latent Variables: Recent Advances and Future Perspectives [PDF] [Code] [Slides]
   Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024 Survey Track)