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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"

15 / 65 papers shown
Title
A Review on Graph Neural Network Methods in Financial Applications
A Review on Graph Neural Network Methods in Financial Applications
Jianian Wang
Shenmin Zhang
Yanghua Xiao
Rui Song
AI4TS
29
104
0
27 Nov 2021
Federated Social Recommendation with Graph Neural Network
Federated Social Recommendation with Graph Neural Network
Zhiwei Liu
Liangwei Yang
Ziwei Fan
Hao Peng
Philip S. Yu
FedML
21
152
0
21 Nov 2021
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
Xingcheng Fu
Jianxin Li
Jia Wu
Qingyun Sun
Cheng Ji
Senzhang Wang
Jiajun Tan
Hao Peng
Philip S. Yu
27
32
0
15 Oct 2021
Stable Prediction on Graphs with Agnostic Distribution Shift
Stable Prediction on Graphs with Agnostic Distribution Shift
Shengyu Zhang
Kun Kuang
J. Qiu
Jin Yu
Zhou Zhao
Hongxia Yang
Zhongfei Zhang
Fei Wu
OOD
39
8
0
08 Oct 2021
Deep Fraud Detection on Non-attributed Graph
Deep Fraud Detection on Non-attributed Graph
Chen Wang
Yingtong Dou
Min Chen
Jia Chen
Zhiwei Liu
Philip S. Yu
GNN
35
19
0
04 Oct 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong
Ninghao Liu
B. Jalaeian
Jundong Li
31
118
0
11 Aug 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Jia Wu
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
43
539
0
14 Jun 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural
  Networks
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng
Ruitong Zhang
Yingtong Dou
Renyu Yang
Jingyi Zhang
Philip S. Yu
36
115
0
16 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs
New Benchmarks for Learning on Non-Homophilous Graphs
Derek Lim
Xiuyu Li
Felix Hohne
Ser-Nam Lim
36
100
0
03 Apr 2021
Graph Computing for Financial Crime and Fraud Detection: Trends,
  Challenges and Outlook
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
Eren Kurshan
Hongda Shen
GNN
27
32
0
02 Mar 2021
Financial Crime & Fraud Detection Using Graph Computing: Application
  Considerations & Outlook
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
Eren Kurshan
Honda Shen
Haojie Yu
GNN
FaML
35
26
0
02 Mar 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding
Qinghai Zhou
Hanghang Tong
Huan Liu
48
123
0
22 Feb 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health
  Records
Heterogeneous Similarity Graph Neural Network on Electronic Health Records
Zheng Liu
Xiaohan Li
Hao Peng
Lifang He
Philip S. Yu
27
64
0
17 Jan 2021
Dynamic Graph Collaborative Filtering
Dynamic Graph Collaborative Filtering
Xiaohan Li
Mengqi Zhang
Shu Wu
Zheng Liu
Liang Wang
Philip S. Yu
103
70
0
08 Jan 2021
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Tong Zhao
Bo Ni
Wenhao Yu
Zhichun Guo
Neil Shah
Meng Jiang
45
19
0
20 Oct 2020
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