Heterogeneous Graph Representation for Dataset Link Prediction on Dynamic and Sparse Scholarly Graphs

Ornella Irrera, Matteo Lissandrini, Daniele Dell'Aglio, Gianmaria Silvello

Abstract: Scientific data are crucial for conducting and validating research, yet they are often undervalued and poorly integrated within the broader scientific ecosystem. This issue is reflected in the typically inadequate documentation of datasets and their weak connections to other research outputs in Scholarly Knowledge Graphs (SKGs).