GeniePath: Graph Neural Networks with Adaptive Receptive Paths
論文傳送門 作者 螞蟻金服 Ziqi Liu Chaochao Chen Longfei Li Jun Zhou Xiaolong Li Le Song (佐治亞理工學院) Yuan Qi 摘要 本文提出了GeniePath，這是一種用於學習在排列不變的圖數據上定義的神經網絡的自適應接受域的可擴展的方法。在GeniePath中，我們提出了一個自適應路徑層，該層由兩個分別用於廣度和深度探索的互補方法
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相關文章
- 1. Adaptive Graph Convolutional Neural Networks
- 2. Towards Deeper Graph Neural Networks
- 3. Few-shot Learning with Graph Neural Networks
- 4. Few-Shot Learning with Graph Neural Networks
- 5. Overlapping Community Detection with Graph Neural Networks
- 6. Structural Image Classification with Graph Neural Networks
- 7. IMAGE DENOISING WITH GRAPH-CONVOLUTIONAL NEURAL NETWORKS
- 8. Graph-based Dependency Parsing with Graph Neural Networks
- 9. 筆記《Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels》-NeurIPS 2019
- 10. CS224W-08-Graph Neural Networks