图神经网络综述部分新增十篇论文：http://huaxiaozhuan.com/深度学习/chapters/11_GNN4.html
《Neural Message Passing for Quantum Chemistry》(MPNN)、
《MASKED LABEL PREDICTION: UNIFIED MESSAGE PASSING MODEL FOR SEMI-SUPERVISED CLASSIFICATION》(UniMP)、
《COMBINING LABEL PROPAGATION AND SIMPLE MODELS OUT-PERFORMS GRAPH NEURAL NETWORKS》(C&S)、
《Large-Scale Learnable Graph Convolutional Networks》(LGCN)、
《An End-to-End Deep Learning Architecture for Graph Classification》(DGCNN)、
《Adaptive Sampling Towards Fast Graph Representation Learning》(AS-GCN)、
《DEEP GRAPH INFOMAX》(DGI)、
《Hierarchical Graph Representation Learning with Differentiable Pooling》(DIFFPOOL)、
《Diffusion-Convolutional Neural Networks》(DCNN)、
《Interaction Networks for Learning about Objects, Relations and Physics》(IN)

完整内容参考 http://huaxiaozhuan.com/
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