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ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection

conference contribution
posted on 2025-01-06, 22:00 authored by Siqi Xia, Sutharshan RajasegararSutharshan Rajasegarar, Lei PanLei Pan, Christopher Leckie, Sarah M Erfani, Jeffrey Chan
ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection

History

Volume

15325

Pagination

416-431

Location

Kolkata, India

Publisher DOI

Open access

  • No

Start date

2024-12-01

End date

2024-12-05

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783031783883

Language

Eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

ICPR 2024 : Proceedings of the 27th International Conference on Pattern Recognition 2024

Event

International Conference on Pattern Recognition. (27th : 2024 : Kolkata, India)

Publisher

Springer Nature

Place of publication

Cham, Switzerland

Series

Lecture Notes in Computer Science

Publication URL

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    Research Publications

    Categories

    Keywords

    Networking and Information Technology R&D (NITRD)1.1 Normal biological development and functioningDynamic GraphsGraph AugmentationAnomaly DetectionContrastive Learning

    Licence

    All Rights Reserved

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