Recommendation of Learning Resource Based on Knowledge Graph Convolutional Network

Aiming at random sampling and the selection of neighborhoods that may lead to unstable recommendation results in existing Knowledge Graph Convolutional Network(KGCN) models, this study constructs a sampling model for Structural Holes and Common Neighbors(SHCN) importance ranking. SHCN leverages the...

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Bibliographic Details

Published in:	Ji suan ji gong cheng Vol. 50; no. 9; pp. 153 - 160
Main Author:	TANG Zhikang, WU Yuqi, LI Chunying, TANG Yong
Format:	Journal Article
Language:	Chinese English
Published:	Editorial Office of Computer Engineering 15.09.2024
Subjects:	knowledge graph(kg)|graph convolutional network(gcn)|graph sampling|recommendation algorithm|learning resource
ISSN:	1000-3428
Online Access:	Get full text
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