Self-supervisedHypergraph structure learningOptimizing hypergraph structureHypergraph neural networksJoint optimizationTraditional Hypergraph Neural Networks (HGNNs) often assume that hypergraph structures are
Self-supervised learning (SSL) provides a promising alternative for representation learning on hypergraphs without costly labels. However, existing hypergraph SSL models are mostly based on contrastive methods with the instance-level discrimination strategy, suffering from two significant limitations: (1) ...
“Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation” CIKM2021 研究问题 群组推荐 研究现状&GAP 传统方法通常采用启发式或基于注意力的偏好聚合策略来综合群体偏好,但这些模型主要关注用户之间的成对连接,忽略了群体内外的复杂高阶交互。\此外,由于群体-物品交互严重稀疏,群体推荐还面临数据稀疏...
Xia X, Yin H, Yu J, et al (2020) Self-supervised hypergraph convolutional networks for session-based recommendation https://doi.org/10.13140/RG.2.2.13606.75846 Cai D, Qian S, Fang Q, Hu J, Ding W, Xu C (2023) Heterogeneous graph contrastive learning network for personalized micro-video ...
Hypergraph-based Recommender Systems HyRec:将用户视为超边来聚合来自交互商品的信息 MHCN:通过构建多通道超图来建模用户间的高阶关系 DHCF:是一种学习混合高阶相关性的超图协同过滤模型 Self-Supervised Graph Learning DGI和GMI:在带有辅助任务的GNN框架上进行生成式自监督学习 SGL:通过随机的节点和边丢弃操作生成对...
HyperRoad [193] predicative Hypergraph construction Road attributes Cross-Entropy, Skipgram Graph&Hypergraph reconstruction, Road attribute prediction, Hyperedge Classification SARN [12] contrastive Edge perturbation Spatial features, Road attributes InfoNCE Road-road, Road-region contrast HNRN [165] predicat...
Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems (Graph + CL) CIKM 2021, [PDF], [Code] Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation (Group Rec, Graph + CL + DA) CIKM 2021, [PDF], [Code] Self-Supervised Hypergrap...
Contrastive Learning(CIKM'2020) S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization [paper] (KDD'2020) Disentangled Self-Supervision in Sequential Recommenders [paper] (AAAI'2021) Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation ...
标题:Self-Supervised Hypergraph Transformerfor Recommender Systems 链接:https://arxiv.org/pdf/2207.14338.pdf 代码:https://github.com/akaxlh/SHT 会议:KDD 2022 学校:港大 喜欢的小伙伴记得三连哦,感谢支持 更多内容可以关注公众号:秋枫学习笔记
Self-supervised hypergraph convolutional networks for session-based recommendation. In Proceedings of the AAAI Conference on Artificial Intelligence, Vancouver, BC, Canada, 2–9 February 2021; Volume 35, pp. 4503–4511. [Google Scholar] Wu, J.; Wang, X.; Feng, F.; He, X.; Chen, L.; ...