Yinhan He

Orcid: 0009-0003-8163-395X

According to our database1, Yinhan He authored at least 8 papers in 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2024
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Links

On csauthors.net:

Bibliography

2024
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.
CoRR, 2024

Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective.
CoRR, 2024

Global Graph Counterfactual Explanation: A Subgraph Mapping Approach.
CoRR, 2024

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction.
CoRR, 2024

Spectral Greedy Coresets for Graph Neural Networks.
CoRR, 2024

Safety in Graph Machine Learning: Threats and Safeguards.
CoRR, 2024

Causal Inference with Latent Variables: Recent Advances and Future Prospectives.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024


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