Graph Transformer Collaborative Filtering Method for Multi-Behavior Recommendations

Graph Transformer Collaborative Filtering Method for Multi-Behavior Recommendations

Graph convolutional networks are widely used in recommendation tasks owing to their ability to learn user and item embeddings using collaborative signals from high-order neighborhoods. Most of the graph convolutional recommendation tasks in existing studies have specialized in modeling a single type...

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Bibliographic Details
Main Authors: Wenhao Zhu, Yujun Xie, Qun Huang, Zehua Zheng, Xiaozhao Fang, Yonghui Huang, Weijun Sun
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
recommendation system
graph convolutional network
subgraph
transformer
multi-behavior recommendation
Online Access:https://www.mdpi.com/2227-7390/10/16/2956

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