Graph Machine Learning Dataset LPWC

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