Self-supervised Graph Learning for Recommendation

21 October 2020

Xing Xie

Papers citing "Self-supervised Graph Learning for Recommendation"

50 / 225 papers shown

Title
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation Shengyin Sun Chen Ma 37 2 0 13 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 44 0 0 01 May 2025
Algorithm Performance Spaces for Strategic Dataset Selection Steffen Schulz 24 0 0 29 Apr 2025
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings Guoqing Hu An Zhang Shuo Liu Zhibo Cai Xun Yang Xuben Wang 34 0 0 27 Apr 2025
Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios Jiwan Kim Hongseok Kang Sein Kim Kibum Kim Chanyoung Park 22 0 0 23 Apr 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation Xu Guo Tong Zhang Fuyun Wang Xudong Wang Xuzhi Zhang Xin Liu Zhen Cui 35 0 0 23 Apr 2025
Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation Yuanpeng Qu Hajime Nobuhara DiffM AI4TS 32 0 0 22 Apr 2025
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration Yiming Li Hanwen Du Yongbin Li Junchen Fu Chunxiao Li Ziyi Zhuang Jiakang Li Yongxin Ni AI4TS 29 0 0 19 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 32 0 0 17 Apr 2025
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space Klaudia Balcer Piotr Lipinski 34 0 0 14 Apr 2025
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering Y. Zhang Yiwen Zhang Yi-cui Zhang Lei Sang Yun-Feng Yang 32 0 0 14 Apr 2025
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems Eya Mhedhbi Youssef Mourchid Alice Othmani 31 0 0 08 Apr 2025
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering Zheyu Chen Jinfeng Xu Yutong Wei Ziyue Peng 29 0 0 06 Apr 2025
Pre-training Generative Recommender with Multi-Identifier Item Tokenization Bowen Zheng Enze Liu Z. Chen Zhongrui Ma Yue Wang Wayne Xin Zhao Zhicheng Dou 38 0 0 06 Apr 2025
LLM-Augmented Graph Neural Recommenders: Integrating User Reviews H. Kanezashi Toyotaro Suzumura Cade Reid Md. Mostafizur Rahman Yu Hirate 33 0 0 03 Apr 2025
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias Miaomiao Cai Lei Chen Yifan Wang Zhiyong Cheng M. Zhang Meng Wang 46 0 0 30 Mar 2025
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation Xi Wu Dan Zhang Chao Zhou Liangwei Yang Tianyu Lin Jibing Gong 49 0 0 24 Mar 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective Sirui Chen Shen Han Jiawei Chen Binbin Hu Sheng Zhou Gang Wang Yan Feng Chong Chen C. Wang OffRL 46 0 0 21 Mar 2025
ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation) Alejandro Ariza-Casabona Nikos Kanakaris Daniele Malitesta 47 0 0 20 Mar 2025
Diffusion-augmented Graph Contrastive Learning for Collaborative Filter Fan Huang Wei Wang DiffM 72 0 0 20 Mar 2025
Variational Bayesian Personalized Ranking Bin Liu Xiaohong Liu Q. Luo Ziqiao Shang Jielei Chu Lin Ma Zhaoyu Li Fei Teng Guangtao Zhai Tianrui Li 50 0 0 14 Mar 2025
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation Ziqiang Cui Yunpeng Weng Xing Tang Xiaokun Zhang Dugang Liu ... Peiyang Liu Bowei He Weihong Luo Xiuqiang He Chen Ma AI4TS 92 0 0 06 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 89 2 0 06 Mar 2025
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios Yixin Su Wei Jiang Fangquan Lin Cheng Yang S. Erfani Junhao Gan Yunxiang Zhao Ruixuan Li Rui-Xun Zhang CML 74 0 0 05 Mar 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation Weizhi Zhang Liangwei Yang Wooseong Yang Henry Peng Zou Yuqing Liu Ke Xu Sourav Medya Philip S. Yu 67 2 0 03 Mar 2025
Dynamic Knowledge Selector and Evaluator for recommendation with Knowledge Graph Feng Xia Zhifei Hu 48 0 0 24 Feb 2025
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation Jinyu Zhang Chao Li Zhongying Zhao 72 0 0 21 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 102 3 0 20 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 78 0 0 20 Feb 2025
Unleashing the Power of Large Language Model for Denoising Recommendation Shuyao Wang Zhi Zheng Yongduo Sui Hui Xiong 111 0 0 13 Feb 2025
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Rui Cai Chao Wang Qianyi Cai Dazhong Shen Hui Xiong RALM 85 0 0 06 Feb 2025
Personalized Denoising Implicit Feedback for Robust Recommender System Kaike Zhang Qi Cao Yunfan Wu Fei Sun Huawei Shen Xueqi Cheng NoLa 84 1 0 01 Feb 2025
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model Chu Zhao Enneng Yang Yuliang Liang Jianzhe Zhao G. Guo Xingwei Wang 42 1 0 28 Jan 2025
A Contrastive Framework with User, Item and Review Alignment for Recommendation Hoang V. Dong Yuan Fang Hady W. Lauw 39 2 0 21 Jan 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis Lanling Xu Junjie Zhang Bingqian Li Jinpeng Wang Sheng Chen Wayne Xin Zhao Zhicheng Dou 85 18 0 17 Jan 2025
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation Qiang Liu Zhaopeng Qiu Xiangyu Zhao X. Wu Zijian Zhang Tong Xu Feng Tian 36 0 0 31 Dec 2024
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models Zheng Hu Zhe Li Ziyun Jiao Satoshi Nakagawa Jiawen Deng Shimin Cai Tao Zhou Fuji Ren RALM 82 2 0 18 Dec 2024
ContextGNN: Beyond Two-Tower Recommendation Systems Yiwen Yuan Zecheng Zhang Xinwei He Akihiro Nitta Weihua Hu ... Blaž Stojanovič Alan Krumholz J. E. Lenssen J. Leskovec Matthias Fey 62 5 0 29 Nov 2024
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Jiawei E Yinglong Zhang Xuewen Xia Xing Xu 74 0 0 23 Nov 2024
DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation Xinyu He Jose Sepulveda Mostafa Rahmani Alyssa Woo Fei Wang Hanghang Tong 28 0 0 14 Nov 2024
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion Xiang Li Changsheng Shui Yanwei Yu Chao Huang Zhongying Zhao Junyu Dong 26 0 0 02 Nov 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation Weiqin Yang Jiawei Chen Xin Xin Sheng Zhou Binbin Hu Yan Feng Chong Chen C. Wang 52 2 0 31 Oct 2024
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning Wei Chen Meng Yuan Zhao Zhang Ruobing Xie Fuzhen Zhuang Deqing Wang Rui Liu 21 0 0 23 Oct 2024
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation Junxiong Tong Mingjia Yin Hao Wang Qiushi Pan Defu Lian Enhong Chen 32 2 0 08 Oct 2024
Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes Kelvin J.L. Koa Yunshan Ma Ritchie Ng Huanhuan Zheng Tat-Seng Chua AIFin 31 1 0 07 Oct 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 44 2 0 30 Sep 2024
Enhancing Recommendation with Denoising Auxiliary Task Pengsheng Liu Linan Zheng Jiale Chen Guangfa Zhang Yang Xu Jinyun Fang NoLa 45 0 0 25 Sep 2024
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation Tianrui Song Wenshuo Chao Hao Liu 32 3 0 16 Sep 2024
Multi-intent Aware Contrastive Learning for Sequential Recommendation Junshu Huang Zi Long Xianghua Fu Yin Chen HAI 23 0 0 13 Sep 2024
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation Li Wang Qiang Wu Min Xu 28 1 0 05 Sep 2024