图神经网络

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  • 杂
    • DL notes
    • code note
    • 数据集
  • CS224W_Winter_2021
    • 02 Traditional Methods for ML on Graphs
    • 03 Node Embeddings
    • 04 Link Analysis PageRank
    • 05 Label Propagation for Node Classification
    • 06 Graph Neural Networks 1 GNN Model
    • 07 Graph Neural Networks 2 Design Space
    • 08 Applications of Graph Neural Networks
    • 09 Theory of Graph Neural Networks
    • 10 Knowledge Graph Embeddings
    • 11 Reasoning over Knowledge Graphs
    • 12 Frequent Subgraph Mining with GNNs
    • 13 Community Structure in Networks
    • 14 Traditional Generative Models for Graphs
  • 论文笔记
    • 01 Semi-Supervised Classification with Graph Convolutional Networks
  • CS224W-2020
    • 01&02 图模型的基本介绍
    • 03 Motifs and Structural Roles in Networks
    • 04 Community Structure in Networks
    • 05 Spectral Clustering
    • 06 Message Passing and Node Classification
    • 07 Graph Representation Learning
    • 08 Graph Neural Networks
    • 10 Deep Generative Models for Graphs
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