Are Large Language Models Effective Knowledge Graph Constructors?¶
Chen, R., Jiang, W., Qin, C., & Xiong, B. (2025). Are Large Language Models Effective Knowledge Graph Constructors?.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Connectedness
- Linguistics and knowledge graphs. Terminologies, ontologies, and citation networks are connected when no concept is an orphan unreachable from the rest, and orphan-detection is a connectedness audit.
This sourceEvaluates LLM-constructed knowledge graphs from structural and semantic perspectives; structural connectivity (giant-component coverage, isolated/orphan nodes) is treated as a quality metric, since graph-based retrieval and multi-hop reasoning rely on reachability and degrade with disconnected components — orphan-detection is a connectedness audit over the concept graph.
- Linguistics and knowledge graphs. Terminologies, ontologies, and citation networks are connected when no concept is an orphan unreachable from the rest, and orphan-detection is a connectedness audit.
Verification¶
Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
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Registry ID ref:b9642b4040aa · see in the full table