SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation

Author:

Liu Xiao1ORCID,Meng Shunmei2ORCID,Li Qianmu3ORCID,Qi Lianyong4ORCID,Xu Xiaolong5ORCID,Dou Wanchun6ORCID,Zhang Xuyun7ORCID

Affiliation:

1. Department of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. Department of Computer Science and Engineering, Nanjing University of Science and Technology & State Key Lab. for Novel Software Technology, Nanjing University, Nanjing, China

3. Digital Economy Research Institute, Nanjing University of Science & Technology, Nanjing, China

4. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China

5. Nanjing University of Information Science & Technology, Nanjing, China

6. Nanjing University, Nanjing, China

7. Macquarie University, Sydney, Australia

Funder

the Open Research Project of State Key Laboratory of Novel Software Technology

ARC DECRA

the Special Funds for Technology Transfer in Jiangsu Province

Publisher

ACM

Reference90 articles.

1. Yueran Bai , Yingying Wang , Yunhai Tong , Yang Yang , Qiyue Liu , and Junhui Liu . 2020 . Boundary content graph neural network for temporal action proposal generation. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020 , Proceedings, Part XXVIII 16 . 121--137. Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, and Junhui Liu. 2020. Boundary content graph neural network for temporal action proposal generation. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XXVIII 16. 121--137.

2. Lars Buitinck Gilles Louppe Mathieu Blondel Fabian Pedregosa Andreas Mueller Olivier Grisel Vlad Niculae Peter Prettenhofer Alexandre Gramfort Jaques Grobler etal 2013. API design for machine learning software: experiences from the scikit-learn project. arXiv preprint arXiv:1309.0238 (2013). Lars Buitinck Gilles Louppe Mathieu Blondel Fabian Pedregosa Andreas Mueller Olivier Grisel Vlad Niculae Peter Prettenhofer Alexandre Gramfort Jaques Grobler et al. 2013. API design for machine learning software: experiences from the scikit-learn project. arXiv preprint arXiv:1309.0238 (2013).

3. Trust-aware location recommendation in location-based social networks: A graph-based approach

4. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 a. A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020a. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607.

5. Ting Chen , Simon Kornblith , Kevin Swersky , Mohammad Norouzi , and Geoffrey E Hinton . 2020b. Big self-supervised models are strong semi-supervised learners. Advances in neural information processing systems , Vol. 33 ( 2020 ), 22243--22255. Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, and Geoffrey E Hinton. 2020b. Big self-supervised models are strong semi-supervised learners. Advances in neural information processing systems, Vol. 33 (2020), 22243--22255.

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