Weighted Embeddings for Low-Dimensional Graph Representation

Thomas Bläsius, Jean-Pierre von der Heydt, Maximilian Katzmann +1

Learning low-dimensional numerical representations from symbolic data, e.g., embedding the nodes of a graph into a geometric space, is an important concept in machine learning. Whi…