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:Jisuanji gongcheng
Main Author: TANG Zhikang, WU Yuqi, LI Chunying, TANG Yong
Format: Article
Language:English
Published: Editorial Office of Computer Engineering 2024-09-01
Subjects:
knowledge graph(kg)|graph convolutional network(gcn)|graph sampling|recommendation algorithm|learning resource
Online Access:https://www.ecice06.com/fileup/1000-3428/PDF/20240915.pdf

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https://www.ecice06.com/fileup/1000-3428/PDF/20240915.pdf

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