Graphs in Space: Graph Embeddings for Machine Learning on Complex Data

Abstract - In today’s world, data in graph and tabular form are being generated at astonishing rates, with algorithms for machine learning (ML) and data mining (DM) applied to such data being established as drivers [...] bridging the “two worlds” of graph data (represented with nodes and edges) and tabular data (represented with rows and columns) by providing means for mapping graphs to tabular data sets, thus unlocking the use [...] Professor of Computer Science at the Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia. His research interests span many areas of data mining and machine learning …