LoRA-NCL: Neighborhood-Enriched Contrastive Learning with Low-Rank Dimensionality Reduction for Graph Collaborative Filtering

LoRA-NCL: Neighborhood-Enriched Contrastive Learning with Low-Rank Dimensionality Reduction for Graph Collaborative Filtering

Graph Collaborative Filtering (GCF) methods have emerged as an effective recommendation approach, capturing users’ preferences over items by modeling user–item interaction graphs. However, these methods suffer from data sparsity in real scenarios, and their performance can be improved using contrast...

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Bibliographic Details
Main Authors: Tianruo Cao, Honghui Chen, Zepeng Hao, Tao Hu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Mathematics
Subjects:
Contrastive Learning
low-rank dimensionlity reduction
Graph Collaborative Filtering
Online Access:https://www.mdpi.com/2227-7390/11/16/3577

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https://www.mdpi.com/2227-7390/11/16/3577

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