图神经推荐系统笔记整理

mark一下喜欢的论文笔记

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1. GraphSage

​​​​​​深度之眼Paper带读笔记GNN.07.GraphSAGE_oldmao_2000的博客-CSDN博客

文末GraphSage代码，分为model.py，aggregators.py，encoders.py

2. GCN、GAT、GraphSAGE

图神经网络三剑客：GCN、GAT与GraphSAGE - 程序员大本营

3. NGCF

论文解读系列第十一篇：“推荐系统”加上“图神经网络” - 知乎

4. NGCF、LightGCN、UltraGCN

图神经网络用于推荐系统问题（NGCF，LightGCN，UltraGCN）_上杉翔二的博客-CSDN博客_ngcf

5. Consisrec

2021_SIGIR_ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation_XingHe_XingHe_的博客-CSDN博客

中英文结合的笔记，花花绿绿的标记，我好爱

[论文笔记]ConsisRec:通过一致的邻居聚合来增强GNN以进行社会化推荐 - 知乎

6. SocialGCN

论文笔记（SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation）_cici_iii的博客-CSDN博客

7. FedSage、FedSage+

Subgraph Federated Learning with Missing Neighbor Generation

结合上面的GraphSage看

《subgraph federated learning with missing neighbor generation》论文阅读_ptxx_p的博客-CSDN博客

NeurIPS'21 | 基于缺失邻居生成的子图联邦学习 - 知乎

联邦学习系列 | 《Subgraph Federated Learning with Missing Neighbor Generation》 - 知乎

论文笔记：NeurIPS'21 Subgraph Federated Learning with Missing Neighbor Generation (FedSage) - 知乎