論文閱讀筆記：Random Walk Graph Neural Networks（NIPS2020）
0、簡介 論文名字：Random Walk Graph Neural Networks 下載地址：https://www.lix.polytechnique.fr/~nikolentzos/files/rw_gnns_neurips20 會議：NIPS2020 1、論文的motivation 圖神經網絡可以學習圖的特徵，從而進行圖分類的任務。目前，主流的圖神經網絡算法都是MPNN的結構。這種結構的
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相關文章
- 1. GRAPH ATTENTION NETWORKS--論文閱讀筆記
- 2. 《Predict then Propagate: Graph Neural Networks meet Personalized PageRank》論文閱讀筆記
- 3. 論文閱讀筆記《Few-Shot Learning with Graph Neural Networks》
- 4. Graph Neural Networks for User Identity Linkage 2019 論文閱讀筆記
- 5. 論文閱讀筆記A Comprehensive Survey on Graph Neural Networks
- 6. 論文閱讀筆記: Modeling Relational Data with Graph Convolutional Networks
- 7. 【論文閱讀筆記】Simple and Deep Graph Convolutional Networks
- 8. 【論文閱讀筆記】Ristretto： Hardware-Oriented Approximation of Convolutional Neural Networks
- 9. Adaptively Connected Neural Networks論文閱讀
- 10. 筆記《Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels》-NeurIPS 2019