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- creativity: 창의성 및 계산 창의성 연구 (11개) - economy: 경제 원리 및 토큰 이코노미 (11개) - explainability: 설명 가능한 AI (XAI) 연구 (11개) - gamification: 게이미피케이션 이론 (11개) - sociology_of_agents: 에이전트 사회학 (11개) - README.md 업데이트
7 lines
558 B
Markdown
7 lines
558 B
Markdown
# GNNExplainer: Generating Explanations for Graph Neural Networks
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- **Authors**: Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec
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- **Year**: 2019
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- **Summary**: This paper introduces GNNExplainer, a method for explaining the predictions of Graph Neural Networks (GNNs). It identifies a compact subgraph and a small subset of node features that are most influential for a given prediction. This is crucial for understanding GNN decisions in domains like social networks or knowledge graphs.
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- **Link**: https://arxiv.org/abs/1903.03894
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