One theme cuts across the most credible 2026 predictions: autonomy will be driven less by bigger models and more by better ...

Abstract: Collaborative filtering-based recommendation systems often face challenges such as data sparsity and cold start problem. Knowledge graphs have been leveraged as auxiliary information to ...

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Abstract: Knowledge graphs (KGs) can provide structured knowledge to assist large language models (LLMs) in interpretable reasoning. Knowledge graph question answering (KGQA) is a typical benchmark to ...