图嵌入、网络嵌入、网络表示学习领域的论文总结

Graph Embedding Techniques, Applications, and Performance: A Survey——一篇图嵌入的综述，很全面

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Representation Learning on Graphs: Methods and Applications——另一篇综述，值得一看

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A Comprehensive Survey of Graph Embedding:Problems,Techniques and Applications——综述

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Spectral Networks and Deep Locally Connected Networks on Graphs——第一次提出图上的神经网络

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Semi-Supervised Classification with Graph Convolutional Networks——提出图卷积网络（图的半监督学习）

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Variational Graph Auto-Encoders——Thomas Kipf的另一篇论文，图自动编码器

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Learning Convolutional Neural Networks for Graphs——一样是图卷积网络

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Inductive Representation Learning on Large Graphs——我看的比较多的一篇，图上的无监督、归纳式学习（无监督、归纳学习上有很多工作可以做）

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DeepWalk:Online Learning of Social Representations——这个大家应该很熟吧，DeepWalk

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（待续ing，大家如果有好的论文可以告诉我啊，一起学习）