Fetching the paper…
Reading the bibliography…
Recent years have witnessed the fast development of the emerging topic of Graph Learning based Recommender Systems (GLRS).
Bipartite graph partitioning and data clustering
Hongyuan Zha, Xiaofeng He, Chris Ding, Horst Simon, and Ming Gu · 2001
Earlier work this paper cites.
Video suggestion and discovery for youtube: taking random walks through the view graph
Shumeet Baluja, Rohan Seth, Dharshi Sivakumar, and et al · 2008
Earlier work this paper cites.
Trustwalker: a random walk model for combining trust-based and item-based recommendation
Mohsen Jamali and Martin Ester · 2009
Earlier work this paper cites.
Linkrec: a unified framework for link recommendation with user attributes and graph structure
Zhijun Yin, Manish Gupta, Tim Weninger, and Jiawei Han · 2010
Earlier work this paper cites.
Supervised random walks: predicting and recommending links in social networks
Lars Backstrom and Jure Leskovec · 2011
Earlier work this paper cites.
Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach
Xin Li and Hsinchun Chen · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
Earlier work this paper cites.
Deep modeling of group preferences for group-based recommendation
Liang Hu, Jian Cao, Guandong Xu, and et al · 2014
Earlier work this paper cites.
Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges
Yue Shi, Martha Larson, and Alan Hanjalic · 2014
Earlier work this paper cites.
Social friend recommendation based on multiple network correlation
Shangrong Huang, Jian Zhang, Lei Wang, and Xian-Sheng Hua · 2015
Earlier work this paper cites.
Context-aware friend recommendation for location based social networks using random walk
Hakan Bagci and Pinar Karagoz · 2016
Earlier work this paper cites.
Query-based music recommendations via preference embedding
Chih-Ming Chen, Ming-Feng Tsai, Yu-Ching Lin, and Yi-Hsuan Yang · 2016
Earlier work this paper cites.
Graph convolutional matrix completion
Rianne van den Berg, Thomas N Kipf, and Max Welling · 2017
Earlier work this paper cites.
Geometric matrix completion with recurrent multi-graph neural networks
Federico Monti, Michael M Bronstein, and Xavier Bresson · 2017
Earlier work this paper cites.
Entity2rec: Learning user-item relatedness from knowledge graphs for top-n item recommendation
Enrico Palumbo, Giuseppe Rizzo, and Raphaël Troncy · 2017
Earlier work this paper cites.
Perceiving the next choice with comprehensive transaction embeddings for online recommendation
Shoujin Wang, Liang Hu, and Longbing Cao · 2017
Earlier work this paper cites.
Meta-graph based recommendation fusion over heterogeneous information networks
Huan Zhao, Quanming Yao, Jianda Li, and et al · 2017
Earlier work this paper cites.
Aspect-level deep collaborative filtering via heterogeneous information networks
Xiaotian Han, Chuan Shi, Senzhang Wang, S Yu Philip, and Li Song · 2018
Earlier work this paper cites.
Leveraging meta-path based context for top-n recommendation with a neural co-attention model
Binbin Hu, Chuan Shi, Wayne Xin Zhao, and Philip S Yu · 2018
Earlier work this paper cites.
Recommendation in heterogeneous information networks based on generalized random walk model and bayesian personalized ranking
Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu, and Tao Zhang · 2018
Earlier work this paper cites.
Sequence-aware recommender systems
Massimo Quadrana, Paolo Cremonesi, and Dietmar Jannach · 2018
Earlier work this paper cites.
Heterogeneous information network embedding for recommendation
Chuan Shi, Binbin Hu, Wayne Xin Zhao, and S Yu Philip · 2018
Earlier work this paper cites.
Recurrent knowledge graph embedding for effective recommendation
Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, and Chi Xu · 2018
Earlier work this paper cites.
Ripplenet: Propagating user preferences on the knowledge graph for recommender systems
Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, and et al · 2018
Cited alongside, same era.
Tem: Tree-enhanced embedding model for explainable recommendation
Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, and Tat-Seng Chua · 2018
Cited alongside, same era.
Network embedding based recommendation method in social networks
Yufei Wen, Lei Guo, Zhumin Chen, and Jun Ma · 2018
Cited alongside, same era.
Hop-rec: high-order proximity for implicit recommendation
Jheng-Hong Yang, Chih-Ming Chen, Chuan-Ju Wang, and Ming-Feng Tsai · 2018
Cited alongside, same era.
Graph convolutional neural networks for web-scale recommender systems
Rex Ying, Ruining He, and et al · 2018
Cited alongside, same era.
Kgat: Knowledge graph attention network for recommendation
Xiang Wang, Xiangnan He, Yixin Cao, and et al · 2019
Later among the works it cites.
Explainable reasoning over knowledge graphs for recommendation
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, and et al · 2019
Later among the works it cites.
Unified embedding model over heterogeneous information network for personalized recommendation
Zekai Wang, Hongzhi Liu, Yingpeng Du, and et al · 2019
Later among the works it cites.
A neural influence diffusion model for social recommendation
Le Wu, Peijie Sun, Yanjie Fu, and et al · 2019
Later among the works it cites.
Session-based recommendation with graph neural networks
Shu Wu, Yuyuan Tang, Yanqiao Zhu, and et al · 2019
Later among the works it cites.
Graph contextualized self-attention network for session-based recommendation
Chengfeng Xu, Pengpeng Zhao, and et al · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yongfeng Zhang and Xu Chen · 2018
Cited alongside, same era.
Spectral collaborative filtering
Lei Zheng, Chun-Ta Lu, Fei Jiang, and et al · 2018
Cited alongside, same era.
Representation learning for attributed multiplex heterogeneous network
Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, and Jie Tang · 2019
Cited alongside, same era.
Collaborative similarity embedding for recommender systems
Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, and Yi-Hsuan Yang · 2019
Cited alongside, same era.
Dressing as a whole: Outfit compatibility learning based on node-wise graph neural networks
Zeyu Cui, Zekun Li, Shu Wu, Xiao-Yu Zhang, and Liang Wang · 2019
Cited alongside, same era.
Graph neural networks for social recommendation
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, and et al · 2019
Cited alongside, same era.
Explainable recommendation through attentive multi-view learning
Jingyue Gao, Xiting Wang, Yasha Wang, and et al · 2019
Cited alongside, same era.
Later among the works it cites.
Star-gcn: Stacked and reconstructed graph convolutional networks for recommender systems
Jiani Zhang, Xingjian Shi, Shenglin Zhao, and Irwin King · 2019
Later among the works it cites.
Deep learning based recommender system: A survey and new perspectives
Shuai Zhang, Lina Yao, Aixin Sun, and Yi Tay · 2019
Later among the works it cites.
Dtcdr: A framework for dual-target cross-domain recommendation
Feng Zhu, Chaochao Chen, Yan Wang, and et al · 2019
Later among the works it cites.
Deep learning on knowledge graph for recommender system: A survey
Yang Gao, Yi-Fan Li, Yu Lin, Hang Gao, and Latifur Khan · 2020
Later among the works it cites.
A survey on knowledge graph-based recommender systems
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, and et al · 2020
Later among the works it cites.
Lightgcn: Simplifying and powering graph convolution network for recommendation
Xiangnan He, Kuan Deng, Xiang Wang, and et al · 2020
Later among the works it cites.
Multi-behavior recommendation with graph convolutional networks
Bowen Jin, Chen Gao, Xiangnan He, Depeng Jin, and Yong Li · 2020
Later among the works it cites.
Memory augmented graph neural networks for sequential recommendation
Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, and Mark Coates · 2020
Later among the works it cites.
Context-aware graph embedding for session-based news recommendation
Heng-Shiou Sheu and Sheng Li · 2020
Later among the works it cites.
Modelling local and global dependencies for next-item recommendations
Nan Wang, Shoujin Wang, Yan Wang, and et al · 2020
Later among the works it cites.
Beyond clicks: Modeling multi-relational item graph for session-based target behavior prediction
Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, and Hongyuan Zha · 2020
Later among the works it cites.
Diffnet++: A neural influence and interest diffusion network for social recommendation
Le Wu, Junwei Li, Peijie Sun, and et al · 2020
Later among the works it cites.
Graph neural networks in recommender systems: A survey
Shiwen Wu, Wentao Zhang, Fei Sun, and Bin Cui · 2020
Later among the works it cites.
Graph convolutional network for recommendation with low-pass collaborative filters
Wenhui Yu and Zheng Qin · 2020
Later among the works it cites.
Inductive matrix completion based on graph neural networks
Muhan Zhang and Yixin Chen · 2020
Later among the works it cites.
A comprehensive survey on graph neural networks
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and S Yu Philip · 2021
Closest in time.
Cross-domain recommendation: Challenges, progress, and prospects
Feng Zhu, Yan Wang, Chaochao Chen, and et al · 2021
Closest in time.