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
Finally, to extract valid embedding in the higher order neighborhoods, we incorporate a self-supervised learning strategy based on maximizing mutual information in the multi-order hypergraph convolutional network. Experiments on several hypergraph datasets show that the proposed model is competitive with ...
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion (CIKM, 2022) [paper] Click-Through Rate Prediction with Multi-Modal Hypergraphs (CIKM, 2021) [paper] Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation (CIKM, 2021) [paper] Hyperbolic Hypergraphs for Seque...
Double-scale self-supervised hypergraph learning for group recommendation. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management; 2021 Nov 1–5; Gold Coast, QLD, Australia. New York City: The Association for Computing Machinery; 2021. p. 2557–67. Google ...
“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...
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning yy-ko/cash • • 11 Sep 2023 To tackle both challenges together, in this paper, we propose a novel hyperedge prediction framework (CASH) that employs (1) context-aware node aggregation to precisely capture complex rela...
semi-supervised-learninghypergraphgraph-convolutional-network UpdatedAug 16, 2020 Python Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorit...
Click-Through Rate Prediction with Multi-Modal Hypergraphs (CIKM, 2021) [paper] Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation (CIKM, 2021) [paper] Hyperbolic Hypergraphs for Sequential Recommendation (CIKM, 2021) [paper] ...
(2022), the accuracy results of real images using pre-training model by self-supervised learning (SSL) method are compared on various datasets namely CIFAR 10 (C10), CIFAR 100 (C100), Pascal VOC 2012 (Pas12), Places 30 (Pl30), and ImageNet 100 (ImN100). Table 26 presents the ...
Self-supervised nodes-hyperedges embedding for heterogeneous information network learning IEEE Transactions on Big Data (2023) Google Scholar [27] Hu X., Wei D., Wang Z., Shen J., Ren H. Hypergraph video pedestrian re-identification based on posture structure relationship and action constraints ...