@jacobcole / Open Asks › paper2graph-collaborator
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Collaborator wanted: develop paper-to-graph paradigm

The ask. Looking for someone (researcher, vibe-coder, scientifically-literate builder) to further develop the paradigm inside the Paper2Graph paper — extracting structured knowledge graphs from scientific literature and making them queryable, combinable, and useful for drug repurposing, cross-domain discovery, and agent-driven research.

What "further develop" means (open-ended). Any of:

  • Take the current Paper2Graph demos and push the extraction quality forward
  • Build a domain-specific instance (drug repurposing, materials science, longevity, your field)
  • Connect it to Noos / Neo4j / a graph store so outputs accrete rather than evaporate
  • Design the UX for scientist ↔ graph interaction
  • Write the paper that situates this in the broader "claude code + neo4j + MCP" landscape

What I bring. Context, funding runway for the right collaborator, the existing codebase + demos, the papertograph.ai domain, and an integration target (Noos). I've thought about this for years and have a backlog of specific experiments I want to run.

What I'm looking for. Ideally someone with scientific domain knowledge + coding ability, or a researcher who wants an AI-native collaborator and doesn't want to build the infra alone. Part-time, contract, or co-founder-shaped engagements all fine.

References

Contact. [email protected] · [email protected]

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