TP3a.1

A random dot product graph model for weighted and directed networks

Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Facultad de Ingeniería, Universidad de la República, Uruguay; Gonzalo Mateos, Department of Electrical and Computer Engineering, University of Rochester, United States
Session:
TP3a: Learning over Graphs Lecture
Track:
Networks and Graphs
Location:
Scripps
Presentation Time:
Tue, 29 Oct, 13:30 - 13:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session TP3a
TP3a.1: A random dot product graph model for weighted and directed networks
Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Facultad de Ingeniería, Universidad de la República, Uruguay; Gonzalo Mateos, Department of Electrical and Computer Engineering, University of Rochester, United States
TP3a.2: Sequential Community Detection in High-Dimensional Temporal Graphs
Robert Malinas, Dogyoon Song, Alfred Hero, University of Michigan, United States
TP3a.3: FairWire: Fair Graph Generation
Oyku Deniz Kose, Yanning Shen, University of California Irvine, United States
TP3a.4: Joint graph learning and sampling set selection from data
Shashank Nelamangala Sridhara, Antonio Ortega, Eduardo Pavez Carvelli, University of Southern California, United States
Contacts