图神经网络资料整理

参考资料

    • 文献
    • 书籍
    • 视频
    • 网站
    • 代码实现

3个概念

  • 图嵌入(Graph Embedding)-GE
  • 图神经网络-GNN
  • 图卷积-GCN

文献

  • The Graph Neural Network Model(图神经网络) 最原始的图神经网络模型,同时也是首次提出图神经网络的概念
  • Geometric deep learning on graphs and manifold susing mixture model cnns(MoNet)将CNN泛化到非欧式结构上
  • Geometric deep learning: going beyond euclidean data(泛化CNN到图上)
  • Neural message passing for quantum chemistry(MPNN)整合了多种图神经网络和图卷积网络方法
  • Non-local neural networks(NLNN) 结合了几种“self Attention”式的方法,不过模型没有定义在图上
  • Attention models in graphs: A survey 图注意力模型
  • Relational inductive biases, deep learning, and graph networks提出图网络框架
  • Learning Convolutional Neural Networks for Graphs(空域GCN)
    阅读笔记https://zhuanlan.zhihu.com/p/27587371
  • 光谱卷积 Spectral Network Spectral networks and locally connected networks on graphs
  • Semi-Supervised Classification with Graph Convolutional Networks(频域GCN)
    阅读笔记https://zhuanlan.zhihu.com/p/31067515
  • Graph Neural Networks: A Review of Methods and Applications
  • Deep Learning on Graphs: A Survey
  • A Comprehensive Survey on Graph Neural Networks
  • Relational inductive biases, deep learning, and graph networks
  • How Powerful are Graph Neural Networks?
  • Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
    三篇综述文章报道:https://zhuanlan.zhihu.com/p/54241746
  • Modeling Relational Data with Graph Convolutional Networks
  • Inductive Representation Learning on Large Graphs
  • Adaptive Graph Convolutional Neural Networks
  • Graph Capsule Convolutional Neural Networks
  • Signed Graph Convolutional Network
  • Large-Scale Learnable Graph Convolutional Networks
  • FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
  • Stochastic Training of Graph Convolutional Networks with Variance Reduction
  • Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
  • Semi-supervised User Geolocation via Graph Convolutional Networks
  • Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
  • Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

书籍

  • 深入浅出图神经网络

视频

  • https://www.bilibili.com/video/av62661713?from=search&seid=6134263793308325331
  • https://www.bilibili.com/video/av77934956?from=search&seid=6134263793308325331
  • https://space.bilibili.com/238664541/video?keyword=图神经网络
  • https://space.bilibili.com/388690539/video?keyword=图神经网络

网站

  • https://tkipf.github.io/graph-convolutional-networks/
  • https://docs.dgl.ai/tutorials/models/index.html

代码实现

  • https://github.com/bknyaz/graph_nn
  • https://github.com/meliketoy/graph-cnn.pytorch
  • https://github.com/divelab/lgcn/
  • https://github.com/VeritasYin/STGCN_IJCAI-18
  • https://github.com/yysijie/st-gcn

资料持续更新中

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