2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning
Michael Färber, David Lamprecht, Yuni Susanti
In this paper, we introduce AutoRDF2GML, a framework designed to convert RDF data into data representations tailored for graph machine learning tasks. AutoRDF2GML enables, for the…
cs.DL2023★ 2 cited
Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph
Michael Färber, David Lamprecht
In this paper, we introduce Linked Papers With Code (LPWC), an RDF knowledge graph that provides comprehensive, current information about almost 400,000 machine learning publicatio…
cs.DL2023★ 2 cited
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples
Michael Färber, David Lamprecht, Johan Krause +2
We present SemOpenAlex, an extensive RDF knowledge graph that contains over 26 billion triples about scientific publications and their associated entities, such as authors, institu…