kyahikaru/scholarly-knowledge-graph
32
End-to-end NLP engineering pipeline that extracts entities and relations from research papers and constructs a Neo4j knowledge graph with evaluation and link prediction.
What's novel
End-to-end NLP engineering pipeline that extracts entities and relations from research papers and constructs a Neo4j knowledge graph with evaluation and link prediction.
Score Breakdown
Innovation
3 (25%)
Craft
27 (35%)
Traction
5 (15%)
Scope
38 (25%)
Signal breakdown
Innovation
Not Fork+1
Code Novelty+0
Unique Niche+1
Concept Novelty+1
Craft
Ci-1
Tests-1
Polish+1
Releases+0
Has License+0
Code Quality+12
Readme Quality+15
Recent Activity+7
Structure Quality+5
Commit Consistency+2
Has Dependency Mgmt+5
Traction
Forks+0
Stars+6
Hn Points+0
Watchers+3
Early Traction+0
Devto Reactions+0
Community Contribs+0
Scope
Commits+8
Languages+3
Subsystems+13
Bloat Penalty+0
Completeness+6
Contributors+5
Authored Files+12
Readme Code Match+3
Architecture Depth+5
Implementation Depth+8
Evidence
Commits
145
Contributors
1
Files
54
Active weeks
4
TestsCI/CDREADMELicenseContributing
Repository
Language
Python
Stars
2
Forks
0
License
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