Paper Lists for Graph Neural Networks
resources for graph convolutional networks （图卷积神经网络相关资源）
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
Performer vs. Graph Attention Network on ShapeNet with GradCAM explanations.
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