【2021/超图卷积】Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation 码农的科研笔记 个人公众号“码农的科研笔记”4 人赞同了该文章 目录 收起 1 动机 2 方法 2.1【如何构建超图】 2.2【自监督增强模型】 2.3【损失函数】 3 总结 文章全文首发:码农的科研笔记(公众...
(预测领域内标签(分子化合物类别等)/预测graph结构)来提供graph embedding的表征能力。 WWW 2021 Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation 也是junliang yu的文章,看标题也是一个超图视角去做的文章。 超图提供了一个自然的衡量高阶关系的视角。 这篇文章以前看过,但之前...
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) ...
Moreover, to enhance hypergraph modeling, we devise another graph convolutional network which is based on the line graph of the hypergraph and then integrate self-supervised learning into the training of the networks by maximizing mutual information between the session representations learned via the ...
Session-based Recommendation with Graph Neural Networks 摘要 作者提出SR-GNN,将session序列建模为图结构数据。在session图的...,忽视了items之间转换时的上下文。 同时指出GNN能很好地生成items嵌入向量,以此来说明提出的SR-GNN更好。 主要贡献: 将session序列建模成图结构数据,以使用GNN来提取item的 SR-GNN, 图网...
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System (Graph + CL) SIGIR 2022, [PDF], [Code] Knowledge Graph Contrastive Learning for Recommendation (Graph + DA + CL) SIGIR 2022, [PDF], [Code] Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social...
(WWW'2021) Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation [paper] (CIKM'2022) Disentangled Contrastive Learning for Social Recommendation [paper] (SIGIR'2022) Socially-aware Dual Contrastive Learning for Cold-Start Recommendation [paper] (TCSS'2022) Predictive and...
Overall, our work presents a significant advancement in the field of self-supervised pretraining of HyperGNNs, and has the potential to improve the performance of various graph-based downstream tasks such as node classification and link prediction tasks which are mapped to hypergraph configuration. ...
[6] Yu, Junliang, et al. "Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation." arXiv preprint arXiv:2101.06448 (2021). [7] Jin, Wei, et al. "Self-supervised learning on graphs: Deep insights and new direction." arXiv preprint arXiv:2006.10141 (2020)....
KDD 2022 | Self-Supervised Hypergraph Transformer for Recommender Systems 文章信息「来源」:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)「标题」:Self-Supervised Hypergraph Transformer for Recommender Systems「作者」:Xia, Lianghao and Huang, Chao and Zh...