关于 Graph Convolutional Networks 资料收集
关于 Graph Convolutional Networks 资料收集
Updated on 2018-08-07 10:11:09
The blog collect some related files on graph convolutional network, including: Blogs, Video Tutorials, Paper Lists and Project Pages.
1. Blogs:
GCN ------ THOMAS KIPF, 30 SEPTEMBER 2016 Click Here
Graph 卷积神经网络：概述、样例及最新进展 ------
新智元博文总结链接：Clink Here
一文概览图卷积网络基本结构和最新进展: Click Here
NE(Network Embedding)论文小览：Click Here
How powerful are Graph Convolutions? (review of Kipf & Welling, 2016) Clink Here
如何理解 Graph Convolutional Network（GCN）？ 知乎：https://www.zhihu.com/question/54504471
2. Video Tutorial:
(1) Geometric Deep Learning on Graphs and Manifolds: https://vimeo.com/248497329
(2) Intro to Graph Convolutional Networks: YouTube
(3) Xavier Bresson: "Convolutional Neural Networks on Graphs": Youtube
(4) Generalizing Convolutions for Deep Learning: Youtube
(5) Knowledge Graphs for a Connected World - AI, Deep & Machine Learning Meetup: Youtube
(6) Gated Graph Sequence Neural Networks: Youtube
(7) Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling Diego Marcheggiani: Youtube
(8) Geometric Deep Learning on Graphs and Manifolds - #NIPS2017 Youtube
(9) Joan Bruna "Learning Graph Inverse Problems with Neural Networks" Youtube
(10) Joan Bruna: "On Computational Hardness with Graph Neural Networks" Youtube
(11) Graph neural networks: Variations and applications Youtube
(12) Steve Purves - Graph Convolutional Networks for Node Classification Youtube
3. Papers:
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst, Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering, Neural Information Processing Systems (NIPS), 2016. Paper Code
4. Slides:
https://figshare.com/articles/Deep_Learning_on_Graphs/5394805
5. Tutorials:
https://github.com/mdeff/cnn_graph/blob/master/usage.ipynb
==
