Graph Anomaly Detection with Unsupervised GNNs

18 October 2022

Papers citing "Graph Anomaly Detection with Unsupervised GNNs"

7 / 7 papers shown

Title
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy Sunwoo Kim Soo Yong Lee Fanchen Bu Shinhwan Kang Kyungho Kim Jaemin Yoo Kijung Shin 22 1 0 27 Oct 2024
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection Chunjing Xiao Shikang Pang Wenxin Tai Yanlong Huang Goce Trajcevski Fan Zhou 33 2 0 18 Jul 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection Yuan-Qi Bei Sheng Zhou Jinke Shi Yao Ma Haishuai Wang Jiajun Bu 24 1 0 25 Apr 2024
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach Konstantinos Sotiropoulos Lingxiao Zhao Pierre Jinghong Liang L. Akoglu 11 0 0 13 Nov 2023
Graph Neural Networks based Log Anomaly Detection and Explanation Zhong Li Jiayang Shi M. Leeuwen 17 11 0 02 Jul 2023
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency Ling Cheng Feida Zhu Y. Wang Rui Liang Huiwen Liu 16 7 0 13 Jan 2023
DIGRAC: Digraph Clustering Based on Flow Imbalance Yixuan He G. Reinert Mihai Cucuringu AI4CE 12 14 0 09 Jun 2021