GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection

21 June 2023

Papers citing "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection"

9 / 9 papers shown

Title
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection Yunhui Liu Jiashun Cheng Yiqing Lin Qizhuo Xie Jia Li Fugee Tsung Hongzhi Yin Tao Zheng Jianhua Zhao Tieke He 43 0 0 19 Apr 2025
Deep Generative Models for Subgraph Prediction Erfaneh Mahmoudzadeh Parmis Naddaf Kiarash Zahirnia Oliver Schulte BDL GNN 35 0 0 07 Aug 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 47 8 0 21 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 47 10 0 31 May 2024
Generative Semi-supervised Graph Anomaly Detection Hezhe Qiao Qingsong Wen Xiaoli Li Ee-Peng Lim Guansong Pang 50 7 0 19 Feb 2024
Revisiting Graph Contrastive Learning for Anomaly Detection Zhiyuan Liu Chunjie Cao Fangjian Tao Jingzhang Sun 41 5 0 04 May 2023
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 71 206 0 31 May 2022
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 53 52 0 21 Jan 2021
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 187 1,171 0 03 Mar 2020