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

论文链接 <https://arxiv.org/abs/1705.02801>

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

论文链接 <http://arxiv.org/abs/1709.05584>

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

论文链接 <http://arxiv.org/abs/1709.07604>

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

论文链接 <https://arxiv.org/abs/1312.6203>

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

论文链接 <https://arxiv.org/abs/1312.6203>

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

论文链接 <http://arxiv.org/abs/1611.07308>

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

论文链接 <http://arxiv.org/abs/1605.05273>

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）

论文链接 <http://arxiv.org/abs/1706.02216>

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

论文链接 <http://arxiv.org/abs/1403.6652>

（待续ing，大家如果有好的论文可以告诉我啊，一起学习）

 





 

• « 上一篇：华为AR系列路由器web配置端口映射实现内网服务器对外开放
• » 下一篇：JAVA实习生面试问题