Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAhqhJYaWKp4uVM8DekNlbg482M_2J7ItjydcrtFGcFD0/assertion>. }
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- GraphRAG type Workflow assertion.
- LightRAG type Workflow assertion.
- HippoRAG2 type Workflow assertion.
- MRMKG type Workflow assertion.
- arXiv.2512.20136 type Entity assertion.
- M2ConceptBase type Workflow assertion.
- M3KGRAG type Workflow assertion.
- VATKG type Workflow assertion.
- GraphRAG label "GraphRAG" assertion.
- LightRAG label "LightRAG" assertion.
- HippoRAG2 label "HippoRAG2" assertion.
- MRMKG label "MR-MKG" assertion.
- M2ConceptBase label "M2ConceptBase" assertion.
- M3KGRAG label "M3KG-RAG (Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation)" assertion.
- VATKG label "VAT-KG" assertion.
- M3KGRAG comment "M3KG-RAG is an end-to-end framework that constructs a multi-hop multimodal knowledge graph (M3KG) using a lightweight multi-agent pipeline (LLMs as agents for KG construction) and employs a novel Grounded Retrieval And Selective Pruning (GRASP) mechanism for retrieving and filtering knowledge. It is designed to enhance multimodal large language models (MLLMs) by supplying query-aligned, answer-supportive knowledge to improve their reasoning depth and answer faithfulness. This method integrates LLM agents for KG construction and KG-enhanced retrieval for MLLMs, thereby synergizing both aspects for reasoning." assertion.
- M3KGRAG subject SynergizedReasoning assertion.
- arXiv.2512.20136 title "M 3 KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation" assertion.
- arXiv.2512.20136 describes M3KGRAG assertion.
- arXiv.2512.20136 discusses GraphRAG assertion.
- arXiv.2512.20136 discusses LightRAG assertion.
- arXiv.2512.20136 discusses HippoRAG2 assertion.
- arXiv.2512.20136 discusses MRMKG assertion.
- arXiv.2512.20136 discusses M2ConceptBase assertion.
- arXiv.2512.20136 discusses VATKG assertion.
- M3KGRAG hasTopCategory SynergizedLLMKG assertion.