PyGOD: A Python Library for Graph Outlier Detection

PyGOD: A Python Library for Graph Outlier Detection

26 April 2022

Xueying Ding

Hao Peng

Philip S. Yu

Papers citing "PyGOD: A Python Library for Graph Outlier Detection"

6 / 6 papers shown

Title
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Junfeng Fang Congcong Wen Hui Lin Xiang Wang 42 0 0 09 Oct 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 53 2 0 03 Jun 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 46 8 0 11 Mar 2024
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information Zhiyuan Liu Chunjie Cao Jingzhang Sun 16 9 0 11 Dec 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection Xuanwen Huang Yang Yang Yang Wang Chunping Wang Zhisheng Zhang Jiarong Xu Lei Chen Michalis Vazirgiannis 12 81 0 30 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 22 293 0 19 Jun 2022