Tag: Neo4j

Researchers fine-tuned a Llama model with LoRA to extract agronomic triplets and build a GraphRAG-powered knowledge graph that outperforms standard ...

Researchers have built a framework that uses large language models and knowledge graphs to automatically extract, structure, and query life ...

Researchers have developed E-GTNet, a hybrid graph neural network that detects and visualizes evolving illicit Bitcoin transaction networks using edge-aware ...

Researchers have built an ontology-driven GraphRAG framework that unifies fragmented levee data into a queryable knowledge graph, achieving 95.16 percent ...