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Author

Chi Ma

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Conference Sep 2026

A graph contrastive learning recommendation algorithm based on variational inference

The results confirm that SGICL effectively enhances recommendation accuracy, robustness, and the capacity to learn rich latent graph representations, providing a practical and scalable framework for graph-based recommender systems.

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

Financial distress prediction based on deep learning and multisource data fusion

Experimental results show that inputting multi-type feature data significantly improves the accuracy of financial distress prediction, especially when the annual report text data is included, which leads to a notable improvement in both prediction accuracy and recall rate.

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

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