EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph

23 December 2019

Papers citing "EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph"

8 / 8 papers shown

Title
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection Jiahui Geng Zhuangzhuang Ye GuoPing Zhao Jianing Wang Xiaohong Su 39 0 0 21 Jan 2025
Effective Clustering on Large Attributed Bipartite Graphs Renchi Yang Yidu Wu Xiaoyang Lin Qichen Wang Tsz Nam Chan Jieming Shi 28 3 0 20 May 2024
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 21 13 0 26 Aug 2023
A Survey on the Densest Subgraph Problem and Its Variants Tommaso Lanciano Atsushi Miyauchi Adriano Fazzone Francesco Bonchi 29 39 0 25 Mar 2023
Label Contrastive Coding based Graph Neural Network for Graph Classification Yuxiang Ren Jiyang Bai Jiawei Zhang 42 26 0 14 Jan 2021
xFraud: Explainable Fraud Transaction Detection Susie Xi Rao Shuai Zhang Zhichao Han Zitao Zhang Wei Min Zhiyao Chen Yinan Shan Yang Zhao Ce Zhang 33 49 0 24 Nov 2020
Robust Spammer Detection by Nash Reinforcement Learning Yingtong Dou Guixiang Ma Philip S. Yu Sihong Xie AAML 18 58 0 10 Jun 2020
Heterogeneous Deep Graph Infomax Yuxiang Ren Bo Liu Chao Huang Peng Dai Liefeng Bo Jiawei Zhang 25 102 0 19 Nov 2019