随笔分类 -  GCN

GRAPH ATTENTION NETWORKS
摘要：基本就是第一层concatenate，第二层不concatenate. 相关论文： Semi-Supervised Classification with Graph Convolutional Networks Geometric deep learning on graphs and manif 阅读全文
posted @ 2018-04-08 15:48 Shiyu_Huang 阅读(1133) 评论(0) 推荐(0) 编辑
Geometric deep learning on graphs and manifolds using mixture model CNNs
摘要：Monti, Federico, et al. "Geometric deep learning on graphs and manifolds using mixture model CNNs." arXiv preprint arXiv:1611.08402 (2016). 摘要：作者提出课一个 阅读全文
posted @ 2017-05-03 13:11 Shiyu_Huang 阅读(2222) 评论(0) 推荐(0) 编辑
Semi-Supervised Classification with Graph Convolutional Networks
摘要：Kipf, Thomas N., and Max Welling. "Semi-supervised classification with graph convolutional networks." arXiv preprint arXiv:1609.02907 (2016). 作者对Convo 阅读全文
posted @ 2017-05-02 19:58 Shiyu_Huang 阅读(2541) 评论(0) 推荐(0) 编辑
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
摘要：Defferrard, Michaël, Xavier Bresson, and Pierre Vandergheynst. "Convolutional neural networks on graphs with fast localized spectral filtering." Advan 阅读全文
posted @ 2017-05-02 14:13 Shiyu_Huang 阅读(6404) 评论(2) 推荐(0) 编辑