Hypergraph Contrastive Collaborative Filtering

26 April 2022

Lianghao Xia

Chao Huang

Jiashu Zhao

Papers citing "Hypergraph Contrastive Collaborative Filtering"

20 / 20 papers shown

Title
Hypergraph Diffusion for High-Order Recommender Systems Darnbi Sakong T. T. Huynh Jun Jo DiffM 82 0 0 28 Jan 2025
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 44 2 0 27 Dec 2023
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning Yunyong Ko Hanghang Tong Sang-Wook Kim 29 0 0 11 Sep 2023
How Expressive are Graph Neural Networks in Recommendation? Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 38 6 0 22 Aug 2023
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph Yanming Hu Chuan Chen Bowen Deng Yujing Lai Hao Lin Zibin Zheng Jing Bian 34 1 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 64 141 0 11 Apr 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 24 199 0 16 Feb 2023
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings Ryan Aponte Ryan A. Rossi Shunan Guo Jane Hoffswell Nedim Lipka Chang Xiao G. Chan E. Koh Nesreen Ahmed GNN 35 11 0 28 Dec 2022
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 41 45 0 07 Oct 2022
Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering Ángel González-Prieto Abraham Gutiérrez Fernando Ortega R. Lara-Cabrera 31 0 0 05 Oct 2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies Xue Liu Dan Sun X. Cao Hao Ye Wei Wei 20 0 0 02 Oct 2022
Self-Supervised Hypergraph Transformer for Recommender Systems Lianghao Xia Chao Huang Chuxu Zhang 30 109 0 28 Jul 2022
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation Yuhao Yang Chao Huang Lianghao Xia Keli Zhang Yanwei Yu Chenliang Li HAI 18 120 0 12 Jul 2022
Quaternion-Based Graph Convolution Network for Recommendation Yaxing Fang Pengpeng Zhao Guanfeng Liu Yanchi Liu Victor S. Sheng Lei Zhao Xiaofang Zhou GNN 23 2 0 20 Nov 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Xiyue Zhang Hongsheng Yang J. Pei Liefeng Bo 126 193 0 08 Oct 2021
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation Chao Huang Jiahui Chen Lianghao Xia Yong-mei Xu Peng Dai Yanqing Chen Liefeng Bo Jiashu Zhao Xiangji Huang 103 94 0 08 Oct 2021
Graph Meta Network for Multi-Behavior Recommendation Lianghao Xia Yong-mei Xu Chao Huang Peng Dai Liefeng Bo AI4CE 64 186 0 08 Oct 2021
Social Recommendation with Self-Supervised Metagraph Informax Network Xiaoling Long Chao Huang Yong-mei Xu Huance Xu Peng Dai Lianghao Xia Liefeng Bo 52 87 0 08 Oct 2021
Recent Advances in Heterogeneous Relation Learning for Recommendation Chao Huang 68 32 0 07 Oct 2021