Graph Machine Learning Dataset LPWC
David Lamprecht · Zenodo (CERN European Organization for Nuclear Research) · 2023
LPWC is a heterogenous graph machine learning dataset based on the RDF knowledge graph Linked Papers With Code (version from 2023-06-24). LPWC contains four node types - papers (376,557 nodes), datasets (8,322 nodes), tasks (4,267 nodes) and methods (2,101), and six edge types. Each node has rich semantic node features for node representation (content-based and topology-based node features are available). More information can be found in README.txt and on https://github.com/davidlamprecht/AutoRDF2GML