metaphacts/linkedpaperswithcode
Code for generating Linked Papers with Code a high-quality RDF knowledge graph with metadata about the machine learning landscape.
This project helps machine learning researchers, data scientists, and academics explore the vast landscape of ML research. It takes raw data from Papers With Code, processes it into a structured knowledge graph, and outputs comprehensive information about ML publications, including tasks, datasets, methods, and evaluation results. You would use this if you need a structured, queryable view of ML research to find relevant papers, understand method effectiveness, or analyze research trends.
Use this if you need a structured, interconnected dataset of machine learning research to query and analyze trends, rather than just browsing individual papers.
Not ideal if you're only looking for a simple keyword search across paper titles or abstracts, as the full power of the knowledge graph would be underutilized.
Stars
8
Forks
3
Language
HTML
License
MIT
Category
Last pushed
Oct 22, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/metaphacts/linkedpaperswithcode"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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