DAGAD: Data Augmentation for Graph Anomaly Detection

DAGAD: Data Augmentation for Graph Anomaly Detection

18 October 2022

Jian Yang

Hao Peng

Charu C. Aggarwal

Papers citing "DAGAD: Data Augmentation for Graph Anomaly Detection"

5 / 5 papers shown

Title
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 95 21 0 15 May 2024
Class Label-aware Graph Anomaly Detection Junghoon Kim Yeonjun In Kanghoon Yoon Junmo Lee Chanyoung Park 17 9 0 22 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 24 3 0 15 Aug 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 36 23 0 18 Jun 2023
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method Yihong Huang Liping Wang Fan Zhang Xuemin Lin 23 19 0 24 Oct 2022