{"id":39498246,"url":"https://github.com/metaphacts/linkedpaperswithcode","last_synced_at":"2026-01-18T05:44:17.380Z","repository":{"id":182346232,"uuid":"665073169","full_name":"metaphacts/linkedpaperswithcode","owner":"metaphacts","description":"Code for generating Linked Papers with Code a high-quality RDF knowledge graph with metadata about the machine learning landscape.","archived":false,"fork":false,"pushed_at":"2025-01-12T19:54:46.000Z","size":2245,"stargazers_count":7,"open_issues_count":12,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-10-22T09:57:03.221Z","etag":null,"topics":["knowledge-graph","knowledge-graph-embeddings","linked-open-data","machine-learning","scholarly-metadata"],"latest_commit_sha":null,"homepage":"https://linkedpaperswithcode.com","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/metaphacts.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-07-11T11:26:21.000Z","updated_at":"2025-09-01T10:10:26.000Z","dependencies_parsed_at":null,"dependency_job_id":"e959b5b3-c2f3-4175-b1c3-b3ca4fbd1d9d","html_url":"https://github.com/metaphacts/linkedpaperswithcode","commit_stats":null,"previous_names":["davidlamprecht/linkedpaperswithcode","metaphacts/linkedpaperswithcode"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/metaphacts/linkedpaperswithcode","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/metaphacts%2Flinkedpaperswithcode","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/metaphacts%2Flinkedpaperswithcode/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/metaphacts%2Flinkedpaperswithcode/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/metaphacts%2Flinkedpaperswithcode/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/metaphacts","download_url":"https://codeload.github.com/metaphacts/linkedpaperswithcode/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/metaphacts%2Flinkedpaperswithcode/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28531382,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-18T00:39:45.795Z","status":"online","status_checked_at":"2026-01-18T02:00:07.578Z","response_time":98,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["knowledge-graph","knowledge-graph-embeddings","linked-open-data","machine-learning","scholarly-metadata"],"created_at":"2026-01-18T05:44:17.318Z","updated_at":"2026-01-18T05:44:17.373Z","avatar_url":"https://github.com/metaphacts.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Linked Papers With Code\n\n\nLinked Papers With Code (LPWC) is an RDF knowledge graph that comprehensively models the research field of machine learning. It contains information about almost 400,000 machine learning publications, including the tasks addressed, the datasets utilized, the methods implemented, and the evaluations conducted, along with their results. The data set is based on [Papers With Code](https://paperswithcode.com). The underlying [dataset snapshot](https://github.com/paperswithcode/paperswithcode-data) of Papers With Code are regenerated daily. With the scripts provided in this repository, the LPWC knowledeg graph can be re-generated based on the snapshot. Furthermore, we provide [knowledge graph embeddings](./embeddings-generation) for entities and relations represented in LPWC.\n\nLPWC is available at **https://linkedpaperswithcode.com**.\n\n\nFor an overview of LPWC see our [ISWC2023 Poster](Poster_LPWC_ISWC2023.pdf).\n\n\u003cfigure\u003e\n    \u003cimg width=\"753\" height=\"542\" src=\"linkedpaperswithcode-schema.png\"\n         alt=\"Schema of Linked Papers With Code\"\u003e\n    \u003cfigcaption\u003eSchema of Linked Papers With Code\u003c/figcaption\u003e\n\u003c/figure\u003e\n\n\n## Knowledge Graph Construction \n\n### Data transformation\nTo construct the Linked Papers With Code Knowledge Graph based on the [Paperswithcode dataset snapshot](https://github.com/paperswithcode/paperswithcode-data) we use the following [python scripts](./transformation-scripts):\n\n1. [01_papers.py](./transformation-scripts/01_papers.py)\n2. [02_conferences.py](./transformation-scripts/02_conferences.py)\n3. [03_methods.py](./transformation-scripts/03_methods.py)\n4. [04_papers-code-and-datasets.py](./transformation-scripts/04_papers-code-and-datasets.py)\n5. [05_evaluation-tables.py](./transformation-scripts/05_evaluation-tables.py)\n6. [06_validation-and-formats.py](./transformation-scripts/06_validation-and-formats.py)\n\n### Entity Linking \nThe scripts for Linking the Entities of Linked Papers With Code to SemOpenAlex and Wikidata are in the folder [entity-linking-scripts](./entity-linking-scripts).\n\n## Knowledge Graph Embeddings\nThe scripts for generating the Knowledge Graph Embeddings and the Evaluation Results of the different Knowledge Graph Embeddings Models are in the folder [embeddings-generation](./embeddings-generation).\n\n## Reference \u0026 More Information\nMore Information about LPWC and its creation can be found in our [paper](https://arxiv.org/pdf/2310.20475.pdf).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmetaphacts%2Flinkedpaperswithcode","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmetaphacts%2Flinkedpaperswithcode","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmetaphacts%2Flinkedpaperswithcode/lists"}