图嵌入、网络嵌入、网络表示学习领域的论文更新

1.Graph Embedding Techniques, Applications, and Performance: A Survey——一篇图嵌入的综述，很全面
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2.Representation Learning on Graphs: Methods and Applications——另一篇综述，值得一看
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3.A Comprehensive Survey of Graph Embedding:Problems,Techniques and Applications——综述
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4.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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5.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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6.Variational Graph Auto-Encoders——Thomas Kipf的另一篇论文，图自动编码器
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7.Learning Convolutional Neural Networks for Graphs——一样是图卷积网络
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8.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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9.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）