Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RANnqJmiQQyn7Tri3waHmqHUPqeiXLRpVxFggk87yBLVg/assertion>. }
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- arXiv.2509.01166 type Entity assertion.
- TransE type Workflow assertion.
- GPT4 type Workflow assertion.
- ComplEx type Workflow assertion.
- ConvE type Workflow assertion.
- RotatE type Workflow assertion.
- CSPromKG type Workflow assertion.
- CompGCN type Workflow assertion.
- GSKGC type Workflow assertion.
- KERMIT type Workflow assertion.
- KGFIT type Workflow assertion.
- KGLLaMA type Workflow assertion.
- KGS2S type Workflow assertion.
- KICGPT type Workflow assertion.
- KoPA type Workflow assertion.
- MKGL type Workflow assertion.
- MPIKGC type Workflow assertion.
- PKGC type Workflow assertion.
- QuatE type Workflow assertion.
- REDGNN type Workflow assertion.
- SAT type Workflow assertion.
- SimKGC type Workflow assertion.
- StructuralAwareIT type Workflow assertion.
- TransE label "TransE" assertion.
- GPT4 label "GPT-4" assertion.
- RotatE label "RotatE" assertion.
- CompGCN label "CompGCN" assertion.
- ComplEx label "ComplEx" assertion.
- KICGPT label "KICGPT" assertion.
- CSPromKG label "CSProm-KG" assertion.
- ConvE label "ConvE" assertion.
- KGFIT label "KG-FIT" assertion.
- KGS2S label "KG-S2S" assertion.
- PKGC label "PKGC" assertion.
- SimKGC label "SimKGC" assertion.
- GSKGC label "GS-KGC" assertion.
- KERMIT label "KERMIT" assertion.
- KGLLaMA label "KG-LLaMA" assertion.
- KoPA label "KoPA" assertion.
- MKGL label "MKGL" assertion.
- MPIKGC label "MPIKGC" assertion.
- QuatE label "QuatE" assertion.
- REDGNN label "RED-GNN" assertion.
- SAT label "SAT" assertion.
- StructuralAwareIT label "Structural-aware IT" assertion.
- SAT comment "SAT (Structure-aware Alignment-Tuning) is a novel framework designed to enhance LLMs for Knowledge Graph Completion (KGC) tasks. It achieves this by introducing hierarchical knowledge alignment to bridge the representation gap between graph structures and natural language, and structural instruction tuning with a lightweight adapter to unify various KGC tasks. The primary goal is to improve the LLM's performance on KG completion tasks." assertion.
- SAT subject LLMAugmentedKGCompletion assertion.
- arXiv.2509.01166 title "Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning" assertion.
- arXiv.2509.01166 describes SAT assertion.
- arXiv.2509.01166 discusses TransE assertion.
- arXiv.2509.01166 discusses GPT4 assertion.
- arXiv.2509.01166 discusses ComplEx assertion.
- arXiv.2509.01166 discusses ConvE assertion.
- arXiv.2509.01166 discusses RotatE assertion.
- arXiv.2509.01166 discusses CSPromKG assertion.
- arXiv.2509.01166 discusses CompGCN assertion.
- arXiv.2509.01166 discusses GSKGC assertion.
- arXiv.2509.01166 discusses KERMIT assertion.
- arXiv.2509.01166 discusses KGFIT assertion.
- arXiv.2509.01166 discusses KGLLaMA assertion.
- arXiv.2509.01166 discusses KGS2S assertion.
- arXiv.2509.01166 discusses KICGPT assertion.
- arXiv.2509.01166 discusses KoPA assertion.
- arXiv.2509.01166 discusses MKGL assertion.
- arXiv.2509.01166 discusses MPIKGC assertion.
- arXiv.2509.01166 discusses PKGC assertion.
- arXiv.2509.01166 discusses QuatE assertion.
- arXiv.2509.01166 discusses REDGNN assertion.
- arXiv.2509.01166 discusses SimKGC assertion.
- arXiv.2509.01166 discusses StructuralAwareIT assertion.
- SAT hasTopCategory LLMAugmentedKG assertion.