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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3 Pith papers cite this work. Polarity classification is still indexing.
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Hub importance scores persist more strongly between functionally similar layers than dissimilar ones in multilayer networks, as evidenced by 31 pre-registered experiments across eight fields.
BioInsight is a multi-agent system that generates interactive, provenance-preserving biomedical evidence interfaces from disease names and protein data.
citing papers explorer
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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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Evidence for a Functional Proximity Law in Multilayer Networks
Hub importance scores persist more strongly between functionally similar layers than dissimilar ones in multilayer networks, as evidenced by 31 pre-registered experiments across eight fields.
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BioInsight: Multi-Agent Orchestration for Interactive Biomedical Knowledge Discovery
BioInsight is a multi-agent system that generates interactive, provenance-preserving biomedical evidence interfaces from disease names and protein data.