Dual-level graph contrastive collaborative filtering

Dual-level graph contrastive collaborative filtering

Abstract The latest research positions graph-based collaborative filtering as an effective strategy in recommendation systems, enabling the analysis of user preferences via user-item interaction graphs. However, such methods often struggle with data sparsity issues in real-world scenarios. To addres...

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Bibliographic Details
Main Authors: Jiahao Wang, Qingshuai Wang, Kai Ma, Noor Farizah Ibrahim, Zurinahni Zainol
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Graph neural networks
Contrastive learning
Recommender systems
Collaborative filtering
Online Access:https://doi.org/10.1038/s41598-025-10621-x
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