2 citations · 4 across the 5 of their papers we have counts for
5 papers
SemRepo: A Knowledge Graph for Research Software and Its Scholarly Ecosystem
Abdul Rafay, Yuni Susanti, David Lamprecht +1
We present SemRepo, an RDF knowledge graph comprising over 81 million triples describing nearly 200,000 GitHub repositories associated with scientific research. SemRepo captures re…
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
Michael Färber, David Lamprecht, Yuni Susanti
Graph Neural Networks (GNNs) have substantially advanced the field of recommender systems. However, despite the creation of more than a thousand knowledge graphs (KGs) under the W3…
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…
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…
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…