ROME: A Graph Contrastive Multi-View Framework From Hyperbolic Angular Space for MOOCs Recommendation
Author:
Affiliation:
1. Faculty of Science Computer and Information Technology, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Funder
Baoshan University School Transformation Development Project
Ministry of Higher Education
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10001755.pdf?arnumber=10001755
Reference43 articles.
1. Hyperbolic geometry;cannon;Flavors of Geometry,1997
2. Semi-supervised classification with graph convolutional networks;kipf;arXiv 1609 02907,2016
3. Representation learning with contrastive predictive coding;van den oord;arXiv 1807 03748,2018
4. Heterogeneous Information Network Embedding for Recommendation
5. An Unsupervised Sentence Embedding Method by Mutual Information Maximization
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