SIGIR 2020上6篇关于【图神经网络 +推荐(GNN+RS) 】的论文
本文为大家整理了六篇SIGIR 2020 基于图神经网络的推荐（GNN+RS）相关论文，这六篇论文分别出自中科大何向南老师和和昆士兰大学阴红志老师团队，供大家参考——捆绑推荐、Disentangled GCF、服装推荐、多行为推荐、全局属性GNN
文件列表
近期必读的六篇SIGIR 2020【图神经网络 +推荐(GNN+RS) 】相关论文.zip
(预估有个6文件)
3. GCN-Based User Representation Learning for Unifying Robust Recommendation.pdf.pdf
1.2MB
2. Disentangled Graph Collaborative Filtering.pdf.pdf
986KB
6. GAG.pdf.pdf
399KB
1. Bundle Recommendation with Graph Convolutional Networks.pdf.pdf
1.22MB
5. Multi-behavior Recommendation with Graph Convolutional Networks.pdf.pdf
862KB
4. Hierarchical Fashion Graph Network for Personalized Outfit Recommendation.pdf.pdf
1.57MB
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