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

Xia, Siqi; Rajasegarar, Sutharshan; Pan, Lei; Leckie, Christopher; Erfani, Sarah M; Chan, Jeffrey

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

conference contribution

posted on 2025-04-04, 00:18 authored by Siqi XiaSiqi 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

https://doi.org/10.1007/978-3-031-78389-0_28

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

https://doi.org/10.1007/978-3-031-78389-0_28

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Keywords

Networking and Information Technology R&D (NITRD)1.1 Normal biological development and functioning Dynamic Graphs Graph Augmentation Anomaly Detection Contrastive Learning

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

History

Volume

Pagination

Location

Publisher DOI

Open access

Start date

End date

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eISSN

ISBN-13

Language

Publication classification

Title of proceedings

Event

Publisher

Place of publication

Series

Publication URL

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Keywords

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