Graph Embedding Techniques, Applications, and Performance: A Survey——一篇圖嵌入的綜述，很全面

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Representation Learning on Graphs: Methods and Applications——另一篇綜述，值得一看

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

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Spectral Networks and Deep Locally Connected Networks on Graphs——第一次提出圖上的神經網路

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Semi-Supervised Classification with Graph Convolutional Networks——提出圖卷積網路（圖的半監督學習）

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Variational Graph Auto-Encoders——Thomas Kipf的另一篇論文，圖自動編碼器

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Learning Convolutional Neural Networks for Graphs——一樣是圖卷積網路

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Inductive Representation Learning on Large Graphs——我看的比較多的一篇，圖上的無監督、歸納式學習（無監督、歸納學習上有很多工作可以做）

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DeepWalk:Online Learning of Social Representations——這個大家應該很熟吧，DeepWalk

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（待續ing，大家如果有好的論文可以告訴我啊，一起學習）