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Knowledge Graphs

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
4
평가표
4
보존된 평가 기록
19

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

평가 결과

데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.

FB15k

원본 태스크: Knowledge Graph Completion / Large Language Model / Knowledge Graphs / Complex Query Answering

평가 기록 9건

FB15k-237

원본 태스크: Knowledge Graph Completion / Large Language Model / Knowledge Graphs / Complex Query Answering

평가 기록 9건

NELL-995

원본 태스크: Knowledge Graph Completion / Large Language Model / Knowledge Graphs / Complex Query Answering

평가 기록 6건

JerichoWorld

원본 태스크: Knowledge Graph Completion / Large Language Model / Knowledge Graphs

평가 기록 5건

WikiKG90M-LSC

원본 태스크: Knowledge Graph Completion / Large Language Model / Knowledge Graphs

평가 기록 4건

FB15k

원본 태스크: Knowledge Graph Completion / Large Language Model / Knowledge Graphs

평가 기록 2건

NELL995

원본 태스크: Knowledge Graph Completion / Large Language Model / Knowledge Graphs / Complex Query Answering

평가 기록 2건

Noun Phrase Canonicalization

원본 태스크: Knowledge Graph Completion / Large Language Model / Knowledge Graphs / Open Knowledge Graph Canonicalization

평가 기록 1건

WD50K-NFOL

원본 태스크: Knowledge Graph Completion / Large Language Model / Knowledge Graphs / Complex Query Answering

평가 기록 1건

WD50K-QE

원본 태스크: Knowledge Graph Completion / Large Language Model / Knowledge Graphs / Complex Query Answering

평가 기록 1건

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