打卡营就要结营了，然而我相信大家对于图相关知识的学习还只是刚刚开始。

后续的复习与深入思考离不开论文的研读，所以这里我把自己总结的论文地址和大家分享一下。

• GNN

A Comprehensive Survey on Graph Neural Networks
https://arxiv.org/abs/1901.00596
1901.00596.pdf

• DeepWalk

DeepWalk: Online Learning of Social Representations
https://arxiv.org/abs/1403.6652

• node2vec

node2vec: Scalable Feature Learning for Networks
https://arxiv.org/abs/1607.00653

• metapath2vec

MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding
https://arxiv.org/pdf/1803.02533.pdf

• GCN

Semi-Supervised Classification with Graph Convolutional Networks
https://arxiv.org/abs/1609.02907

• GAT

Graph Attention Networks
https://arxiv.org/abs/1710.10903

为了方便小伙伴们下载，以上论文以数据集形式上传到了AiStudio。链接如下：

https://aistudio.baidu.com/aistudio/datasetdetail/62677

大家一起加油！