图卷积网络、图神经网络必读论文

Content 1. Survey 2. Models  2.1 Basic Models  2.2 Graph Types  2.3 Pooling Methods  2.4 Analysis  2.5 Efficiency 3. Applications  3.1 Physics  3.2 Chemistry and Biology  3.3 Knowledge Graph  3.4 Reco

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