Graph Learning Approaches to Recommender Systems: A Review

Type: Review

Publication Date: 2020-01-01

Citations: 26

DOI: https://doi.org/10.48550/arxiv.2004.11718

View

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Graph Learning based Recommender Systems: A Review 2021 Shoujin Wang
Liang Hu
Yan Wang
Xiangnan He
Quan Z. Sheng
Mehmet A. Orgun
Longbing Cao
Francesco Ricci⋆
Philip S. Yu
+ Graph Learning based Recommender Systems: A Review 2021 Shoujin Wang
Liang Hu
Yan Wang
Xiangnan He
Quan Z. Sheng
Mehmet A. Orgun
Longbing Cao
Francesco Ricci⋆
Philip S. Yu
+ PDF Chat Graph Learning based Recommender Systems: A Review 2021 Shoujin Wang
Liang Hu
Yan Wang
Xiangnan He
Quan Z. Sheng
Mehmet A. Orgun
Longbing Cao
Francesco Ricci⋆
Philip S. Yu
+ PDF Chat Recommending on graphs: a comprehensive review from a data perspective 2023 Lemei Zhang
Peng Liu
Jon Atle Gulla
+ Recommending on graphs: a comprehensive review from a data perspective 2022 Lemei Zhang
Peng Liu
Jon Atle Gulla
+ PDF Chat Graph Neural Networks in Recommender Systems: A Survey 2022 Shiwen Wu
Fei Sun
Wentao Zhang
X. H. Xie
Bin Cui
+ Graph Neural Networks in Recommender Systems: A Survey 2020 Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
+ Recommender systems based on graph embedding techniques: A comprehensive review. 2021 Yue Deng
+ PDF Chat A survey on knowledge graph-based recommender systems 2020 Qi Zhang
Le Zhang
Chuan Qin
Chao Wang
Hengshu Zhu
Hui Xiong
Enhong Chen
Qingyu Guo
Fuzhen Zhuang
+ PDF Chat A Survey on Knowledge Graph-Based Recommender Systems 2020 Qingyu Guo
Fuzhen Zhuang
Chuan Qin
Hengshu Zhu
Xing Xie
Hui Xiong
Qing He
+ A Survey on Knowledge Graph-Based Recommender Systems 2020 Qingyu Guo
Fuzhen Zhuang
Chuan Qin
Hengshu Zhu
Xing Xie
Hui Xiong
Qing He
+ PDF Chat Recommender Systems Based on Graph Embedding Techniques: A Review 2022 Yue Deng
+ Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. 2021 Chen Gao
Yu Zheng
Nian Li
Yinfeng Li
Yingrong Qin
Jinghua Piao
Yuhan Quan
Jianxin Chang
Depeng Jin
Xiangnan He
+ PDF Chat A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions 2023 Chen Gao
Yu Zheng
Nian Li
Yinfeng Li
Yingrong Qin
Jinghua Piao
Yuhan Quan
Jianxin Chang
Depeng Jin
Xiangnan He
+ A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions 2021 Chen Gao
Yu Zheng
Nian Li
Yinfeng Li
Yingrong Qin
Jinghua Piao
Yuhan Quan
Jianxin Chang
Depeng Jin
Xiangnan He
+ PDF Chat KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering 2024 Salvatore Bufi
Alberto Carlo Maria Mancino
Antonio Ferrara
Daniele Malitesta
Tommaso Di Noia
Eugenio Di Sciascio
+ Localized Graph Collaborative Filtering 2021 Yiqi Wang
Chaozhuo Li
Mingzheng Li
Wei Jin
Yuming Liu
Hao Sun
Xing Xie
Jiliang Tang
+ PDF Chat Graph Neural Networks for Social Recommendation 2019 Wenqi Fan
Yao Ma
Qing Li
Yuan He
Eric Zhao
Jiliang Tang
Dawei Yin
+ A Survey of Graph Neural Networks for Social Recommender Systems 2022 Kartik Sharma
Yeon-Chang Lee
Sivagami Nambi
Aditya Salian
Shlok Shah
Sang‐Wook Kim
Srijan Kumar
+ Graph Neural Networks for Social Recommendation 2019 Wenqi Fan
Yao Ma
Qing Li
Yuan He
Eric Zhao
Jiliang Tang
Dawei Yin

Citing (14)

Action Title Year Authors
+ DKN: Deep Knowledge-Aware Network for News Recommendation 2018 Hongwei Wang
Fuzheng Zhang
Xing Xie
Minyi Guo
+ A Survey on Session-based Recommender Systems 2019 Shoujin Wang
Longbing Cao
Yan Wang
Quan Z. Sheng
Mehmet A. Orgun
Defu Lian
+ PDF Chat KGAT 2019 Xiang Wang
Xiangnan He
Yixin Cao
Meng Liu
Tat‐Seng Chua
+ Binarized Collaborative Filtering with Distilling Graph Convolutional Networks 2019 Haoyu Wang
Defu Lian
Yong Ge
+ Graph Neural Networks for Social Recommendation 2019 Wenqi Fan
Yao Ma
Qing Li
Yuan He
Eric Zhao
Jiliang Tang
Dawei Yin
+ Distributed Representations of Words and Phrases and their Compositionality 2013 Tomáš Mikolov
Ilya Sutskever
Kai Chen
Greg S. Corrado
Jay B. Dean
+ PDF Chat A Neural Influence Diffusion Model for Social Recommendation 2019 Le Wu
Peijie Sun
Yanjie Fu
Richang Hong
Xiting Wang
Meng Wang
+ Heterogeneous Information Network Embedding for Recommendation 2018 Chuan Shi
Binbin Hu
Wayne Xin Zhao
Philip S. Yu
+ PDF Chat Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems 2019 Hongwei Wang
Fuzheng Zhang
Mengdi Zhang
Jure Leskovec
Miao Zhao
Wenjie Li
Zhongyuan Wang
+ PDF Chat RippleNet 2018 Hongwei Wang
Fuzheng Zhang
Jialin Wang
Miao Zhao
Wenjie Li
Xing Xie
Minyi Guo
+ Sequential Recommender Systems: Challenges, Progress and Prospects 2019 Shoujin Wang
Liang Hu
Yan Wang
Longbing Cao
Quan Z. Sheng
Mehmet A. Orgun
+ PDF Chat Graph Convolutional Neural Networks for Web-Scale Recommender Systems 2018 Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
Jure Leskovec
+ PDF Chat Session-Based Recommendation with Graph Neural Networks 2019 Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
+ PDF Chat Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks 2019 Zeyu Cui
Zekun Li
Shu Wu
Xiaoyu Zhang
Liang Wang