references/GraphNeuralNetwork_Embedding.md · CSS360/pilab_research_fields

Survey & Tutorial

2020 traffic prediction with advanced graph neural networks
https://deepmind.com/blog/article/traffic-prediction-with-advanced-graph-neural-networks
- https://www.toutiao.com/i6868527184148070923
2020 Deep Learning with Graph-Structured Representations
https://pure.uva.nl/ws/files/46900201/Thesis.pdf
- 图卷积网络作者Thomas Kipf博士论文公布
A collection of important graph embedding, classification and representation learning papers with implementations. https://github.com/benedekrozemberczki/awesome-graph-classification
图神经网络（Graph Neural Networks，GNN）综述 https://www.toutiao.com/a6764264957371482631/
图网络论文+代码实现大合集，70多篇分门别类，从未如此全面 https://www.toutiao.com/a6714910638071611911
图神经网络概述第三弹：来自IEEE Fellow的GNN综述 https://www.toutiao.com/a6643609633875296775
图形卷积神经网络有多强大？一文让你熟练掌握GCN https://www.toutiao.com/a6649220677184258568
基于图模型的智能推荐算法学习笔记 https://www.toutiao.com/a6825043186633671171/

图嵌入概述 https://www.toutiao.com/a6757502387776127491/
案例+代码详解：用Word2Vec建立你的私人购物助手 https://www.toutiao.com/a6730445169444782606
词向量详解：从word2vec、glove、ELMo到BERT https://www.toutiao.com/a6746020414075437579
node2vec: 图数据的嵌入方法
- https://www.toutiao.com/a6768790551480238599
- https://arxiv.org/pdf/1607.00653.pdf
Heterogeneous information network representation learning https://github.com/csiesheep/hin2vec
神经网络嵌入详解 https://mp.weixin.qq.com/s/9Azv6xOZuY0ntcQpiqLD-A
分类变量的深度嵌入(Cat2Vec) https://www.jianshu.com/p/e63490114247 https://zhuanlan.zhihu.com/p/52700207
万物皆Embedding，从经典的word2vec到深度学习基本操作item2vec https://www.toutiao.com/a6685669207511663116
Graph Embedding(1) Struc2Vec-推荐相似度度量算法 https://www.toutiao.com/a6681236412613788173
Item2vec: Neural Item Embedding for Collaborative Filtering https://zhuanlan.zhihu.com/p/24339183
强化学习应用于组合优化问题 https://www.toutiao.com/a6677162862743388686