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Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged
  Fraudsters

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

19 August 2020
Yingtong Dou
Zhiwei Liu
Li Sun
Yutong Deng
Hao Peng
Philip S. Yu
    AAML
ArXivPDFHTML

Papers citing "Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters"

50 / 65 papers shown
Title
Addressing Noise and Stochasticity in Fraud Detection for Service Networks
Addressing Noise and Stochasticity in Fraud Detection for Service Networks
Wenxin Zhang
Ding Xu
Xi Xuan
Lei Jiang
Guangzhen Yao
Renda Han
Xiangxiang Lang
Cuicui Luo
178
0
0
02 May 2025
Dual-channel Heterophilic Message Passing for Graph Fraud Detection
Dual-channel Heterophilic Message Passing for Graph Fraud Detection
Feiyu Xiong
Jingxing Zhong
Guangzhen Yao
Renda Han
Xiaojian Lin
Zeyu Zhang
Cuicui Luo
36
0
0
19 Apr 2025
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
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
38
0
0
19 Apr 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
Yao Zou
Dawei Cheng
52
1
0
03 Mar 2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
Karish Grover
Geoffrey J. Gordon
Christos Faloutsos
73
0
0
12 Feb 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
Zhixun Li
Dingshuo Chen
Tong Zhao
Ziyu Zhao
Hongrui Liu
Qing Cui
Jun Zhou
Jeffrey Xu Yu
SSL
105
0
0
10 Feb 2025
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection
Jiahui Geng
Zhuangzhuang Ye
GuoPing Zhao
Jianing Wang
Xiaohong Su
31
0
0
21 Jan 2025
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li
Yuan Gao
Jinda Lu
Junfeng Fang
Congcong Wen
Hui Lin
Xiang Wang
58
1
0
09 Oct 2024
You Can't Ignore Either: Unifying Structure and Feature Denoising for
  Robust Graph Learning
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning
Tianmeng Yang
Jiahao Meng
Min Zhou
Yaming Yang
Yujing Wang
Xiangtai Li
Yunhai Tong
NoLa
34
1
0
01 Aug 2024
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for
  Enhanced Detection
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection
Fei Xiao
Shaofeng Cai
Wei Zhang
H. V. Jagadish
Beng Chin Ooi
Meihui Zhang
38
0
0
01 Aug 2024
OLGA: One-cLass Graph Autoencoder
OLGA: One-cLass Graph Autoencoder
M. Gôlo
José Gilberto Barbosa de Medeiros Junior
Diego Furtado Silva
R. Marcacini
36
0
0
13 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
42
10
0
31 May 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message
  Passing and Hyperbolic Neural Networks
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
Jing Gu
Dongmian Zou
37
3
0
06 Mar 2024
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
Haolin Li
Shuyang Jiang
Lifeng Zhang
Siyuan Du
Guangnan Ye
Hongfeng Chai
24
0
0
27 Feb 2024
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph
  Neural Networks
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
Yifan Duan
Guibin Zhang
Shilong Wang
Xiaojiang Peng
Ziqi Wang
Junyuan Mao
Hao Wu
Xinke Jiang
Kun Wang
41
6
0
22 Feb 2024
Generative Semi-supervised Graph Anomaly Detection
Generative Semi-supervised Graph Anomaly Detection
Hezhe Qiao
Qingsong Wen
Xiaoli Li
Ee-Peng Lim
Guansong Pang
45
7
0
19 Feb 2024
Towards Fine-Grained Explainability for Heterogeneous Graph Neural
  Network
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network
Tong Li
Jiale Deng
Yanyan Shen
Luyu Qiu
Hu Yongxiang
Caleb Chen Cao
25
5
0
23 Dec 2023
Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with
  Disentangled Product-of-Experts Modeling
Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling
Hao Wang
Zhi-Qi Cheng
Jingdong Sun
Xin Yang
Xiao-Jun Wu
Hongyang Chen
Yan Yang
38
5
0
28 Oct 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
Zhirui Pan
Guangzhong Wang
Zhaoning Li
Lifeng Chen
Yang Bian
Zhongyuan Lai
FedML
40
2
0
12 Oct 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
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
14
13
0
26 Aug 2023
Class Label-aware Graph Anomaly Detection
Class Label-aware Graph Anomaly Detection
Junghoon Kim
Yeonjun In
Kanghoon Yoon
Junmo Lee
Chanyoung Park
25
9
0
22 Aug 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph
  Anomaly Detection
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
Hezhe Qiao
Guansong Pang
21
24
0
29 May 2023
Self-attention Dual Embedding for Graphs with Heterophily
Self-attention Dual Embedding for Graphs with Heterophily
Yurui Lai
Taiyan Zhang
Rui Fan
GNN
38
0
0
28 May 2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels
  on GPUs
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs
Yangjie Zhou
Yaoxu Song
Jingwen Leng
Zihan Liu
Weihao Cui
Zhendong Zhang
Cong Guo
Quan Chen
Li-Wei Li
Minyi Guo
GNN
46
1
0
27 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity
GraphFC: Customs Fraud Detection with Label Scarcity
Karandeep Singh
Yu-Che Tsai
Cheng-Te Li
Meeyoung Cha
Shou-de Lin
27
7
0
19 May 2023
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network
  Fraud Detection
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection
Xinxin Hu
Haotian Chen
Hongchang Chen
Shuxin Liu
Xing Li
Shibo Zhang
Yahui Wang
Xiangyang Xue
GNN
21
17
0
28 Mar 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity
  Analysis
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis
Haoyu He
Yuede Ji
H. H. Huang
27
20
0
26 Mar 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size
  of Public Graph Datasets for Deep Learning Research
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
Arpandeep Khatua
Vikram Sharma Mailthody
Bhagyashree Taleka
Tengfei Ma
Xiang Song
Wen-mei W. Hwu
AI4CE
48
38
0
27 Feb 2023
Label Information Enhanced Fraud Detection against Low Homophily in
  Graphs
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Yuchen Wang
Jinghui Zhang
Zhengjie Huang
Weibin Li
Shi Feng
...
Dianhai Yu
Fang Dong
Jiahui Jin
Beilun Wang
Junzhou Luo
22
38
0
21 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani
Jia Wu
Amin Beheshti
Quan.Z Sheng
Jin Foo
Venus Haghighi
Ambreen Hanif
Maryam Shahabikargar
GNN
AI4TS
40
12
0
13 Feb 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for
  Graph Neural Network Training
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
Kezhao Huang
Haitian Jiang
Minjie Wang
Guangxuan Xiao
David Wipf
Xiang Song
Quan Gan
Zengfeng Huang
Jidong Zhai
Zheng-Wei Zhang
GNN
33
2
0
18 Jan 2023
Time-aware Hyperbolic Graph Attention Network for Session-based
  Recommendation
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation
Xiaohan Li
Yuqing Liu
Zheng Liu
Philip S. Yu
33
7
0
10 Jan 2023
Graph Learning for Anomaly Analytics: Algorithms, Applications, and
  Challenges
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Jing Ren
Feng Xia
Azadeh Noori Hoshyar
Charu C. Aggarwal
42
26
0
11 Dec 2022
Fraudulent User Detection Via Behavior Information Aggregation Network
  (BIAN) On Large-Scale Financial Social Network
Fraudulent User Detection Via Behavior Information Aggregation Network (BIAN) On Large-Scale Financial Social Network
Hanyi Hu
Long Zhang
Shuang Li
Zhi Liu
Yao Yang
Chongning Na
21
0
0
04 Nov 2022
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and
  Superior Method
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method
Yihong Huang
Liping Wang
Fan Zhang
Xuemin Lin
31
19
0
24 Oct 2022
The Devil is in the Conflict: Disentangled Information Graph Neural
  Networks for Fraud Detection
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection
Zhixun Li
Dingshuo Chen
Qiang Liu
Shu Wu
AAML
31
15
0
22 Oct 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
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
22
82
0
30 Jun 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
41
296
0
19 Jun 2022
Rethinking Graph Neural Networks for Anomaly Detection
Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang
Jiajin Li
Zi-Chao Gao
Jia Li
71
205
0
31 May 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
45
25
0
20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
Heterogeneous Information Network based Default Analysis on Banking
  Micro and Small Enterprise Users
Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users
Zheng-Chao Zhang
Yingsheng Ji
Jiachen Shen
Xi Zhang
Guang-Yu Yang
27
5
0
24 Apr 2022
GUARD: Graph Universal Adversarial Defense
GUARD: Graph Universal Adversarial Defense
Jintang Li
Jie Liao
Ruofan Wu
Liang Chen
Zibin Zheng
Jiawang Dan
Changhua Meng
Weiqiang Wang
AAML
21
8
0
20 Apr 2022
Reinforcement learning on graphs: A survey
Reinforcement learning on graphs: A survey
Mingshuo Nie
Dongming Chen
Dongqi Wang
39
45
0
13 Apr 2022
Deep reinforcement learning guided graph neural networks for brain
  network analysis
Deep reinforcement learning guided graph neural networks for brain network analysis
Xusheng Zhao
Jia Wu
Hao Peng
Amin Beheshti
Jessica J. M. Monaghan
...
Mark Dras
Qiong Dai
Yangyang Li
Philip S. Yu
Lifang He
GNN
30
44
0
18 Mar 2022
Deep Graph Learning for Anomalous Citation Detection
Deep Graph Learning for Anomalous Citation Detection
Jiaying Liu
Feng Xia
Xu Feng
Jing Ren
Huan Liu
24
41
0
23 Feb 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise,
  Distribution Shift, and Adversarial Attack
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
Jintang Li
Bingzhe Wu
Chengbin Hou
Guoji Fu
Yatao Bian
Liang Chen
Junzhou Huang
Zibin Zheng
OOD
AAML
32
6
0
15 Feb 2022
Improving Fraud Detection via Hierarchical Attention-based Graph Neural
  Network
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network
Yajing Liu
Zhengya Sun
Wensheng Zhang
27
25
0
12 Feb 2022
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative
  Distribution Functions
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
Zheng Li
Yue Zhao
Xiyang Hu
N. Botta
C. Ionescu
George H. Chen
32
282
0
02 Jan 2022
A Self-supervised Mixed-curvature Graph Neural Network
A Self-supervised Mixed-curvature Graph Neural Network
Li Sun
Zhongbao Zhang
Junda Ye
Hao Peng
Jiawei Zhang
Sen Su
Philip S. Yu
SSL
33
33
0
10 Dec 2021
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