Deep Learning on Graphs - Michigan State University
6.3 Graph Adversarial Defenses 151 6.3.1 Graph Adversarial Training 152 6.3.2 Graph Purification 154 6.3.3 Graph Attention 155 6.3.4 Graph Structure Learning 159 6.4 Conclusion 160 6.5 Further Reading 160 7 Scalable Graph Neural Networks 162 7.1 Introduction 162 7.2 Node-wise Sampling Methods 166 7.3 Layer-wise Sampling Methods 168
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Deep Learning on Graphs - Michigan State University
cse.msu.edu9.3 Recurrent Neural Networks on Graphs 191 9.4 Variational Autoencoders on Graphs 193 9.4.1 Variational Autoencoders for Node Represen-tation Learning 195 9.4.2 Variational Autoencoders for Graph Generation 196 9.5 Generative Adversarial Networks on Graphs 199 9.5.1 Generative Adversarial Networks for Node Representation Learning 200
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