GNN之NIPS19 GNNExplainer-GNNExplainer: Generating Explanations for Graph Neural Networks
轉載 紀厚業 本文由斯坦福Jure組發表在NeurIPS2019上. 一作Rex Ying也是著名的GraphSAGE的作者. 代碼和數據 https://github.com/RexYing/gnn-model-explainer 目錄 1.Introduction 2.Model 2.1Explanation via Structural Information 2.2Explanation
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相關文章
- 1. Graph Neural Networks (GNN)（三）：Spectral-GNN 之 GCN
- 2. Strategies For Pre-Training Graph Neural Networks
- 3. STRATEGIES FOR PRE-TRAINING GRAPH NEURAL NETWORKS
- 4. CS224W-08-Graph Neural Networks
- 5. Applications of Graph Neural Networks
- 6. 【GNN實驗新基準】Benchmarking Graph Neural Networks
- 7. Memory Augmented Graph Neural Networks for Sequential Recommendation翻譯
- 8. Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
- 9. GNN Pooling(十一)：Edge Contraction Pooling for Graph Neural Networks，2019
- 10. Hybrid Graph Neural Networks for Crowd Counting