Researchers developed SenescenceBioKG, a knowledge graph extracting biomaterial design and regeneration patterns across 283 full-text studies, highlighting responsive mechanisms alongside ...
Researchers developed a computational knowledge graph combining literature mining and biological databases to identify potential drug repurposing candidates and molecular ...
A modular AI system separates general Traditional Chinese Medicine knowledge from one senior practitioner's prescribing experience, scoring highest among evaluated ...
Researchers developed ShenNongDiet, a knowledge graph and retrieval-augmented generation system that answers medicinal diet queries with 84 percent top-one retrieval ...
GraphRAG-ADR combines a knowledge graph with a large language model to extract adverse drug reactions from informal patient narratives, reaching ...
A time-sliced evaluation found that adding patent-derived relations to a Duchenne muscular dystrophy knowledge graph perturbed rankings without establishing uniform ...
Researchers built WILD-CRIME, an automated framework that turns scattered web sources into a semantically enriched wildlife crime knowledge graph for ...
A new framework combining an industry-chain knowledge graph with a digital twin training platform shows statistically significant improvements in response ...
A new framework combining a 120,000-entity knowledge graph with contrastive learning outperforms traditional and graph-based baselines in evaluating digital economy ...
A study of junior high school students’ online English-learning logs found that a knowledge-map and LSTM model classified three behavioral ...
A multi-agent AI system combining large language models, knowledge graph embeddings, and collaborative agents reads power grid alarm rules, recognizes ...
Kazakhstani researchers have built a trilingual AI knowledge graph that links university curricula, live job vacancies, and online courses, using ...
Researchers built a knowledge graph-guided Transformer that generates coherent accordion music with harmonic validity of 94.8 percent and robust thematic ...
Researchers have built an integrated framework that fuses conflict reports, web images, and scanned maps into a single multimodal spatiotemporal ...
Researchers fine-tuned a Llama model with LoRA to extract agronomic triplets and build a GraphRAG-powered knowledge graph that outperforms standard ...
Researchers at a Chinese power grid enterprise have built a recommendation system that combines knowledge graphs with dynamic employee personas ...
In a groundbreaking development set to revolutionize the field of pharmacology, researchers have unveiled a novel approach to drug synergy ...
