論文筆記——Permutohedral-GCN: Graph Convolutional Networks with Global Attention
【論文筆記】Permutohedral-GCN: Graph Convolutional Networks with Global Attention 作者：HeshamMostafa，MarcelNassar 代碼：無 摘要 圖卷積網絡（GCNs）通過聚集圖中鄰居節點的特徵來更新節點的特徵向量。這會忽略來自遙遠節點的潛在有用貢獻。本文引入了一種全局注意力機制，其中一個節點可以有選擇地關注並聚合圖
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相關文章
- 1. GRAPH ATTENTION NETWORKS論文筆記
- 2. Efficient Graph Generation with Graph Recurrent Attention Networks--NIPS2019--論文筆記
- 3. 論文筆記：LCML 2019 Simplifying Graph Convolutional Networks
- 4. 論文筆記：Multi-Label Image Recognition with Graph Convolutional Networks
- 5. GRAPH ATTENTION NETWORKS--論文閱讀筆記
- 6. 論文筆記之Graph Attention Networks
- 7. 論文筆記《Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting》
- 8. GRAPH ATTENTION NETWORKS筆記
- 9. Multi-Label Image Recognition with Graph Convolutional Networks 論文筆記
- 10. Multi-Label Image Recognition with Graph Convolutional Networks 論文閱讀筆記