Spaceland Embedding of Sparse Stochastic Graphs

We introduce a nonlinear method for directly embedding large, sparse, stochastic graphs into low-dimensional spaces, without requiring vertex features to reside in, or be transformed into, a metric space. Graph data and models are prevalent in real-world applications. Direct graph embedding is funda...

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Bibliographische Detailangaben

Hauptverfasser:	Pitsianis, Nikos, Iliopoulos, Alexandros-Stavros, Floros, Dimitris, Sun, Xiaobai
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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