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...
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| Autor Principal: | |
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| Outros autores: | , , , |
| Formato: | article |
| Idioma: | inglés |
| Publicado: |
2022
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| Subjects: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/9706333 https://hdl.handle.net/20.500.12008/30974 |
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