Graph Matching
Cross-source consensus on Graph Matching from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Risks & contraindications
Highlighted claims
- Edge matching was strict about reactant, product, and modifier edge roles. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- The study quantified overlap by translating NLP event representations into SBML models, annotating automated and human pathway representations, and applying graph matching. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- Subgraph isomorphism compared disconnected automated subgraphs against the MTOR-HMN graph after isolated species were removed. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- Relaxed matching strategies revealed related content but could also introduce biologically incorrect matches. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway