KGFMs can predict links using observed half-links, with performance varying across four scenarios of half-link visibility in inference graphs.
Systematic integration of biomedical knowledge prioritizes drugs for repurposing
6 Pith papers cite this work. Polarity classification is still indexing.
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ChronoMedKG builds a temporal biomedical KG with 460k evidence-linked triples across 13k diseases using LLM consensus and introduces the ChronoTQA benchmark showing RAG gains on time-sensitive questions.
EvidenceNet releases disease-specific biomedical knowledge bases with 7,872 and 6,622 evidence records for HCC and CRC, plus graphs, extracted via LLM pipeline with reported high fidelity.
PG-Schema validation is NP-complete in combined complexity and PTIME in data complexity; combined complexity becomes PTIME under restricted alternation of type combinations and unions.
OptimusKG is a labeled property graph unifying biomedical knowledge from structured sources into 190,531 nodes of 10 types and 21.8 million edges of 26 types, with 70% of sampled edges supported by literature evidence via PaperQA3 validation.
The paper formalizes query answering with soft constraints on knowledge graphs and introduces two lightweight methods (parameter tuning or small neural network) to incorporate them while preserving original rankings.
citing papers explorer
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Half a Link can Be Enough to Predict a Whole Link: Understanding Generalization in Knowledge Graph Foundation Models
KGFMs can predict links using observed half-links, with performance varying across four scenarios of half-link visibility in inference graphs.
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ChronoMedKG: A Temporally-Grounded Biomedical Knowledge Graph and Benchmark for Clinical Reasoning
ChronoMedKG builds a temporal biomedical KG with 460k evidence-linked triples across 13k diseases using LLM consensus and introduces the ChronoTQA benchmark showing RAG gains on time-sensitive questions.
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Building evidence-based knowledge bases from full-text literature for disease-specific biomedical reasoning
EvidenceNet releases disease-specific biomedical knowledge bases with 7,872 and 6,622 evidence records for HCC and CRC, plus graphs, extracted via LLM pipeline with reported high fidelity.
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Validation of graph databases against PG-Schema
PG-Schema validation is NP-complete in combined complexity and PTIME in data complexity; combined complexity becomes PTIME under restricted alternation of type combinations and unions.
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OptimusKG: Unifying biomedical knowledge in a modern multimodal graph
OptimusKG is a labeled property graph unifying biomedical knowledge from structured sources into 190,531 nodes of 10 types and 21.8 million edges of 26 types, with 70% of sampled edges supported by literature evidence via PaperQA3 validation.
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Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
The paper formalizes query answering with soft constraints on knowledge graphs and introduces two lightweight methods (parameter tuning or small neural network) to incorporate them while preserving original rankings.