论文解读二代GCN《Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering》 - 别关注我了,私信我吧 - 博客园 (cnblogs.com) 摘要 为将CNN推广到高维图结构数据中,基于spectral graph theory(谱图理论),设计了一种通用的fast localized
Defferrard, Michaël, Xavier Bresson, and Pierre Vandergheynst. "Convolutional neural networks on graphs with fast localized spectral filtering."Advances in Neural Information Processing Systems. 2016. 摘要: 作者提出了一种把传统CNN扩展到非欧空间上的一种卷积网络 1.介绍 作者的主要贡献有: (1)谱方法...
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering Chris chris-hzc.github.io/ 1 Introduction Main contributions: Spectral formulation Strictly localized filters: K hops from the central vertex Low computational complexity: KNN, avoid Fourier basis&EVD, only store Laplacian Effic...
Convolutional Neural Networks on Graphs (by Xavier Bresson): 以Spectral的方法为主，介绍了这个方向的...
Defferrard, Michaël, Xavier Bresson, and Pierre Vandergheynst. "Convolutional neural networks on graphs with fast localized spectral filtering."Advances in Neural Information Processing Systems. 2016. 摘要: 作者提出了一种把传统CNN扩展到非欧空间上的一种卷积网络 ...
@inproceedings{cnn_graph, title = {Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering}, author = {Defferrard, Micha\"el and Bresson, Xavier and Vandergheynst, Pierre}, booktitle = {Advances in Neural Information Processing Systems}, year = {2016}, url = {https:/...
Recently, graph convolutional networks (GCNs) have achieved state-of-the-art results for skeleton based action recognition by expanding convolutional neural networks (CNNs) to graphs. However, due to the lack of effective feature aggregation method, e.g. max pooling in CNN, existing GCN-based ...
Convolutional neural networks on graphs with fast localized spectral filtering Advances in Neural Information Processing Systems (NIPS) (2016), pp. 3844-3852 View in ScopusGoogle Scholar Deng et al., 2018 M. Deng, J. Tang, Q. Liu, F. Wu Recognizing building groups for generalization: a compa...
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering Inductive Representation Learning on Large Graphs Semi-Supervised Classification with Graph Convolutional Networks Geometric deep learning on graphs and manifolds using mixture model CNNs ...
4.2 Neural networks on graphs 五、Experiments 5.1 Datasets 数据集的信息表如图: (1)Citation networks 本文考虑三个引文网络数据集:Citeseer、Cora和PubMed(Sen等人,2008)。数据集包含每个文档的稀疏bag-of-words特征向量和文档之间的引用链接列表。本文将引用链接视为(无向)边,并构造一个二元对称邻接矩阵A。每个...