Graph Representation Learning via Hard and Channel-Wise Attention Networks论文解析
论文：Graph Representation Learning via Hard and Channel-Wise Attention Networks 这篇论文主要通过使用Hard attention和channel-wise attention 在大规模图数据应用中，可以有效的节省计算资源。并且基于提出的Hard attention 和channel-wise attention，开发了一个
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相关文章
- 1. 《GRAPH ATTENTION NETWORKS》论文理解
- 2. Graph attention networks (GAT)论文解析
- 3. 论文理解—— Disentangle-based Continual Graph Representation Learning
- 4. GRAPH ATTENTION NETWORKS论文笔记
- 5. 论文翻译：GRAPH ATTENTION NETWORKS
- 6. 《HARP-Hierarchical Representation Learning for Networks》论文解读
- 7. Graph Attention Networks理解
- 8. 论文解析：NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
- 9. GRAPH ATTENTION NETWORKS--论文阅读笔记
- 10. 《Relational inductive biases, deep learning, and graph networks》图网络 论文解读