Online change point detection for weighted and directed random dot product graphs

Given a sequence of random (directed and weighted) graphs, we address the problem of online monitoring and detection of changes in the underlying data distribution. Our idea is to endow sequential change-point detection (CPD) techniques with a graph representation learning substrate based on the ver...

Full description

Bibliographic Details

Main Author:	Marenco, Bernardo (author)
Other Authors:	Bermolen, Paola (author), Fiori, Marcelo (author), Larroca, Federico (author), Mateos, Gonzalo (author)
Format:	article
Language:	English
Published:	2022
Subjects:	Data models Monitoring Delays Computational modeling Symmetric matrices Probability Information processing Online change-point detection Graph representation learning Node embeddings Random dot product graphs
Online Access:	https://ieeexplore.ieee.org/document/9706333 https://hdl.handle.net/20.500.12008/30974
Tags:	Add Tag No Tags, Be the first to tag this record!