Contextualized graph attention network for recommendation with item knowledge graph

Contextualized graph attention network for recommendation with item knowledge graph

Graph neural networks (GNN) have recently been applied to exploit knowledge graph (KG) for recommendation. Existing GNN-based methods explicitly model the dependency between an entity and its local graph context in KG (i.e., the set of its first-order neighbors), but may not be effective in capturin...

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Bibliographic Details
Main Authors: Liu, Yong, Yang, Susen, Xu, Yonghui, Miao, Chunyan, Wu, Min, Zhang, Juyong
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Recommendation Systems
Knowledge Graph
Graph Neural Networks
Online Access:https://hdl.handle.net/10356/156036

Internet

https://hdl.handle.net/10356/156036

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