Towards Few-shot Self-explaining Graph Neural Networks

Recent advancements in Graph Neural Networks (GNNs) have spurred an upsurge of research dedicated to enhancing the explainability of GNNs, particularly in critical domains such as medicine. A promising approach is the self-explaining method, which outputs explanations along with predictions. However...

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Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Peng, Jingyu, Liu, Qi, Yue, Linan, Zhang, Zaixi, Zhang, Kai, Sha, Yunhao
Format:	Artikel
Sprache:	eng
Schlagworte:	Graph neural networks Graph theory Neural networks Performance prediction
Online-Zugang:	Volltext
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