Fetching the paper…
Reading the bibliography…
In the information age, recommendation systems are vital for efficiently filtering information and identifying user preferences.
Birds of a feather: Homophily in social networks
Miller McPherson, Lynn Smith-Lovin, and James M Cook · 2001
Earlier work this paper cites.
Social influence: Compliance and conformity
Robert B Cialdini and Noah J Goldstein · 2004
Earlier work this paper cites.
Bpr: Bayesian personalized ranking from implicit feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme · 2009
Earlier work this paper cites.
Introduction to recommender systems handbook
Francesco Ricci, Lior Rokach, and Bracha Shapira · 2010
Earlier work this paper cites.
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen · 2010
Earlier work this paper cites.
A generic coordinate descent framework for learning from implicit feedback
Immanuel Bayer, Xiangnan He, Bhargav Kanagal, and Steffen Rendle · 2017
Earlier work this paper cites.
Neural graph collaborative filtering
Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, and Tat-Seng Chua · 2019
Earlier work this paper cites.
Graph neural networks for social recommendation
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, and Dawei Yin · 2019
Earlier work this paper cites.
A neural influence diffusion model for social recommendation
Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, and Meng Wang · 2019
Earlier work this paper cites.
Dual channel hypergraph collaborative filtering
Shuyi Ji, Yifan Feng, Rongrong Ji, Xibin Zhao, Wanwan Tang, and Yue Gao · 2020
Earlier work this paper cites.
Disentangled graph collaborative filtering
Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, and Tat-Seng Chua · 2020
Earlier work this paper cites.
Diffnet++: A neural influence and interest diffusion network for social recommendation
Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, and Meng Wang · 2020
Earlier work this paper cites.
Enhancing social recommendation with adversarial graph convolutional networks
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, and Lizhen Cui · 2020
Earlier work this paper cites.
Lightgcn: Simplifying and powering graph convolution network for recommendation
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, YongDong Zhang, and Meng Wang · 2020
Earlier work this paper cites.
Dual side deep context-aware modulation for social recommendation
Bairan Fu, Wenming Zhang, Guangneng Hu, Xinyu Dai, Shujian Huang, and Jiajun Chen · 2021
Cited alongside, same era.
Self-supervised multi-channel hypergraph convolutional network for social recommendation
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, and Xiangliang Zhang · 2021
Cited alongside, same era.
Self-supervised multi-channel hypergraph convolutional network for social recommendation
Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, and Xiangliang Zhang · 2021
Cited alongside, same era.
Socially-aware self-supervised tri-training for recommendation
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, and Nguyen Quoc Viet Hung · 2021
Cited alongside, same era.
Self-supervised graph learning for recommendation
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, and Xing Xie · 2021
Cited alongside, same era.
Multi-view intent disentangle graph networks for bundle recommendation
Sen Zhao, Wei Wei, Ding Zou, and Xianling Mao · 2022
Later among the works it cites.
Self-supervised graph neural networks for multi-behavior recommendation
Shuyun Gu, Xiao Wang, Chuan Shi, and Ding Xiao · 2022
Later among the works it cites.
A survey of graph neural networks for social recommender systems
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, and Srijan Kumar · 2022
Later among the works it cites.
Eagcn: An efficient adaptive graph convolutional network for item recommendation in social internet of things
Bin Wu, Lihong Zhong, Lina Yao, and Yangdong Ye · 2022
Later among the works it cites.
Multi-level cross-view contrastive learning for knowledge-aware recommender system
Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, and Xin Cao · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Dh-hgcn: Dual homogeneity hypergraph convolutional network for multiple social recommendations
Jiadi Han, Qian Tao, Yufei Tang, and Yuhan Xia · 2022
Cited alongside, same era.
Large-scale personalized video game recommendation via social-aware contextualized graph neural network
Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, and Philip S. Yu · 2022
Cited alongside, same era.
Revisiting graph based social recommendation: A distillation enhanced social graph network
Ye Tao, Ying Li, Su Zhang, Zhirong Hou, and Zhonghai Wu · 2022
Cited alongside, same era.
Disentangled contrastive learning for social recommendation
Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, and Ke Tang · 2022
Cited alongside, same era.
Self-supervised learning for recommender system
Chao Huang, Xiang Wang, Xiangnan He, and Dawei Yin · 2022
Cited alongside, same era.
Improving graph collaborative filtering with neighborhood-enriched contrastive learning
Zihan Lin, Changxin Tian, Yupeng Hou, and Wayne Xin Zhao · 2022
Cited alongside, same era.
Are graph augmentations necessary? simple graph contrastive learning for recommendation
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, and Quoc Viet Hung Nguyen · 2022
Cited alongside, same era.
Unbiased and robust: External attention-enhanced graph contrastive learning for cross-domain sequential recommendation
Xinhua Wang, Houping Yue, Zizheng Wang, Liancheng Xu, and Jinyu Zhang · 2023
Closest in time.
Contrastive learning-based multi-behavior recommendation with semantic knowledge enhancement
Wenxuan Yu, Chenzhong Bin, Wenqiang Liu, and Liang Chang · 2023
Closest in time.
Denoised self-augmented learning for social recommendation
Tianle Wang, Lianghao Xia, and Chao Huang · 2023
Closest in time.
Enhancing social recommendation with multi-view bert network
Tushar Prakash, Raksha Jalan, and Naoyuki Onoe · 2023
Closest in time.
Self-supervised learning for recommender systems: A survey
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, and Zi Huang · 2023
Closest in time.
Lightgcl: Simple yet effective graph contrastive learning for recommendation
Xuheng Cai, Chao Huang, Lianghao Xia, and Xubin Ren · 2023
Closest in time.
Candidate-aware graph contrastive learning for recommendation
Wei He, Guohao Sun, Jinhu Lu, and Xiu Susie Fang · 2023
Closest in time.
Challenging low homophily in social recommendation
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, and Hongzhi Yin · 2024
Closest in time.