A hybrid LLM-plus-GNN recommender is claimed to beat collaborative filtering, LLM-only, and GNN-only baselines on financial product ranking, with NDCG@10 of 0.372.
An ensemble approach to stock price prediction using deep learning and time series models
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Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks
A hybrid LLM-plus-GNN recommender is claimed to beat collaborative filtering, LLM-only, and GNN-only baselines on financial product ranking, with NDCG@10 of 0.372.