Author

Zixian Li

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#natural language process... Review Sep 2026

HyGRAIL: Cost-Aware and Evidence-Grounded Scientific Hypothesis Discovery over Knowledge Graphs

HyGRAIL, a cost-aware and evidence-grounded framework that combines heterogeneous GNN triage with LLM-based hypothesis review, is proposed, which retrieves node-level associations and multi-hop relational paths from the knowledge graph and converts this structured evidence into natural language through template-based o...

Yi-Han-Qiu-Dan Sun, Zhi-Han Zhu, Zhi-Yuan Jiang et al. · 0 citations

Open access Jul 2026

KLaR: fusing knowledge graphs and language models for biomedical target discovery

Case studies suggest that KLaR can recover biologically plausible disease–gene and drug–target associations missing from the original graphs, supporting hypothesis generation without domain-specific language model fine-tuning.

Yinghui Jiang, Zixian Li, Yanchao Xu et al. · Bioinformatics · 0 citations