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cs.AI2026
Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls
Jiancu Chen, Shuyin Xia, Guan Wang +2
Instance-level explanations aim to reveal the rationale behind a model's decisions for a specific graph. Previous methods explain graph neural networks (GNNs) by selecting importan…
cs.AI2024
PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image Understanding
Dawei Dai, Yuanhui Zhang, Long Xu +4
The previous advancements in pathology image understanding primarily involved developing models tailored to specific tasks. Recent studies has demonstrated that the large vision-la…