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Conference Sep 2026

A graph contrastive learning recommendation algorithm based on variational inference

Recommender systems are essential tools for alleviating information overload by providing personalized suggestions to users. Graph neural networks (GNNs), capable of capturing complex node relationships and higher-order interactions, have emerged as a prominent research direction in recommendation tasks. In this work,...

Chi Ma, Haohao Cao, Hui Hu et al. · 0 citations
Conference Sep 2026

Financial distress prediction based on deep learning and multisource data fusion

With enterprises facing increasingly severe financial risks, the prediction of financial distress has become a critical research direction in academia and industry. Traditional methods primarily rely on structured financial data, but they face limitations when processing complex market dynamics and unstructured data. I...

Chi Ma, Haohao Cao, Hui Hu et al. · 0 citations

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