图神经网络学习推荐网址

图神经网络学习推荐网址:

知乎:

  1. 如何理解 Graph Convolutional Network(GCN)?:https://www.zhihu.com/question/54504471/answer/332657604
  2. 深入理解图注意力机制:https://zhuanlan.zhihu.com/p/57180498
  3. Graph Attention Network的本质是什么?:https://www.zhihu.com/question/275866887/answer/627791230
  4. 图神经网络(Graph Neural Networks,GNN)综述:https://zhuanlan.zhihu.com/p/75307407

博客:

  1. 图卷积网络 GCN Graph Convolutional Network(谱域GCN)的理解和详细推导:https://blog.csdn.net/yyl424525/article/details/100058264

  2. 【Graph Embedding】DeepWalk:Online Learning of Social Representations论文笔记https://blog.csdn.net/yyl424525/article/details/100575405

微信公众号:

  1. GNN教程:图神经网络基础知识!:https://mp.weixin.qq.com/s/cPnCX5eYoBTcNzM073Dg_w
  2. Graph Neural Network(GNN)综述:https://mp.weixin.qq.com/s/wVc3w5U5HwG33uzHdIc-3w
  3. 一文梳理推荐系统中Embedding应用实践:https://mp.weixin.qq.com/s/q8mVupjdH6oCkn9Roh5Xqg
  4. 系列教程GNN-algorithms之四:《Inductive Learning 大神—GraphSAGE》:https://mp.weixin.qq.com/s/BBZvwzEu2NFOP0WJpaiZtw

小破站:

  1. 台大李宏毅助教讲解GNN图神经网络:https://www.bilibili.com/video/BV1G54y1971S
  2. GNN图神经网络相关讲座(汇总ing):https://www.bilibili.com/video/BV1j54y1975p

Github:

  1. Must-read papers on GNN:https://github.com/thunlp/GNNPapers

Web:

  1. Welcome to Deep Graph Library Tutorials and Documentation:https://docs.dgl.ai/
  2. Jie Tang (Tang, Jie) 唐 杰: http://keg.cs.tsinghua.edu.cn/jietang/
  3. 机器学习-GNN-浅层图Embedding & GCN介绍:https://bbs.pinggu.org/thread-10302931-1-1.html

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