A social recommendation model based on adaptive residual graph convolution networks

A social recommendation model based on adaptive residual graph convolution networks

Incorporating social information in the recommendation algorithm based on graph neural network (GNN) alleviates the data sparsity and cold-start problems to a certain extent, and effectively improves the recommendation performance of the model. However, there are still shortcomings in the existing s...

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Bibliographic Details
Main Authors: Rui Chen, Kangning Pang, Qingfang Liu, Lei Zhang, Hao Wu, Cundong Tang, Pu Li
Format: Article
Language:English
Published: PeerJ Inc. 2025-07-01
Series:PeerJ Computer Science
Subjects:
Social recommendation
Fast fourier transform
Heterogeneous graph
Graph convolutional algorithm
Online Access:https://peerj.com/articles/cs-3010.pdf
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