https://github.com/metaphacts/linkedpaperswithcode
Code for generating Linked Papers with Code a high-quality RDF knowledge graph with metadata about the machine learning landscape.
https://github.com/metaphacts/linkedpaperswithcode
knowledge-graph knowledge-graph-embeddings linked-open-data machine-learning scholarly-metadata
Last synced: 5 months ago
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Code for generating Linked Papers with Code a high-quality RDF knowledge graph with metadata about the machine learning landscape.
- Host: GitHub
- URL: https://github.com/metaphacts/linkedpaperswithcode
- Owner: metaphacts
- License: mit
- Created: 2023-07-11T11:26:21.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2025-01-12T19:54:46.000Z (over 1 year ago)
- Last Synced: 2025-10-22T09:57:03.221Z (8 months ago)
- Topics: knowledge-graph, knowledge-graph-embeddings, linked-open-data, machine-learning, scholarly-metadata
- Language: HTML
- Homepage: https://linkedpaperswithcode.com
- Size: 2.14 MB
- Stars: 7
- Watchers: 2
- Forks: 1
- Open Issues: 12
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Linked Papers With Code
Linked 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.
LPWC is available at **https://linkedpaperswithcode.com**.
For an overview of LPWC see our [ISWC2023 Poster](Poster_LPWC_ISWC2023.pdf).
Schema of Linked Papers With Code
## Knowledge Graph Construction
### Data transformation
To 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):
1. [01_papers.py](./transformation-scripts/01_papers.py)
2. [02_conferences.py](./transformation-scripts/02_conferences.py)
3. [03_methods.py](./transformation-scripts/03_methods.py)
4. [04_papers-code-and-datasets.py](./transformation-scripts/04_papers-code-and-datasets.py)
5. [05_evaluation-tables.py](./transformation-scripts/05_evaluation-tables.py)
6. [06_validation-and-formats.py](./transformation-scripts/06_validation-and-formats.py)
### Entity Linking
The scripts for Linking the Entities of Linked Papers With Code to SemOpenAlex and Wikidata are in the folder [entity-linking-scripts](./entity-linking-scripts).
## Knowledge Graph Embeddings
The 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).
## Reference & More Information
More Information about LPWC and its creation can be found in our [paper](https://arxiv.org/pdf/2310.20475.pdf).