Tag: Knowledge Graphs

A new framework called TransDualKGR improves multi-hop reasoning on knowledge graphs by using a Transformer-based dynamic representation and a dual-agent ...

Researchers have developed a dual-pathway computational framework that combines molecular graphs, biological knowledge networks, and semantic descriptions to predict rare ...

A knowledge-grounded security assessment framework improves risk quantification and cross-domain access verification for large language models in smart-grid operations.

A new graph neural network method called MADPGraph combines relation-aware multi-head attention with adaptive dynamic pruning to improve link prediction ...

A new review maps how large language models are being trained on digitized classical texts, billions of clinical records, and ...

A new contrastive learning framework called VMCL improves knowledge graph embedding for unseen entities and shows smooth, predictable gains as ...

Researchers built a knowledge-graph-guided diffusion framework that generates Huizhou dwelling facades with greater typological and structural accuracy than standard fine-tuning ...

A proof-of-concept ontology framework classifies 25 simulated concrete pouring radio utterances into semantic tags, hazard signals and situation states, with ...

Researchers propose an LLM-based framework that combines Large Language Models, Knowledge Graphs, and Reinforcement Learning to automate data governance in ...

A multimodal GraphRAG system tested on electrical-equipment data improved retrieval accuracy and evidence traceability by connecting text, images, structured records, ...

A diabetes question-answering prototype combines a structured medical knowledge graph, guideline retrieval and a large language model while exposing the ...

A new neuro-symbolic framework called Delta Semantics keeps machine learning outputs provably consistent with evolving ontologies by attaching checker-validated proof ...

Researchers have developed MMA-HNS, a framework that keeps multimodal knowledge graph completion accurate even when the textual descriptions of entities ...

Researchers have developed KARAMEL, a knowledge-aware framework that fuses vision-language encoding with heterogeneous graph neural networks to link artworks to ...

Researchers at the University of Naples Federico II have built a hybrid AI system that combines ontology-driven knowledge graphs with ...

A new study proves that similarity-based retrieval structurally cannot guarantee that an AI assistant's stored rules reach the model, and ...

In recent years, the intersection of artificial intelligence and knowledge representation, particularly through the utilization of Knowledge Graphs (KGs) enhanced ...

In a groundbreaking advancement in the domain of aviation maintenance, researchers have unveiled an innovative approach to update civil aircraft ...

In a groundbreaking development set to revolutionize the field of pharmacology, researchers have unveiled a novel approach to drug synergy ...

In the evolving landscape of artificial intelligence, there are numerous advancements that are reshaping traditional methodologies across various sectors. One ...