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2002.12307
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Heterogeneous Graph Neural Networks for Malicious Account Detection
International Conference on Information and Knowledge Management (CIKM), 2018
27 February 2020
Ziqi Liu
Chaochao Chen
Xinxing Yang
Jun Zhou
Xiaolong Li
Le Song
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Papers citing
"Heterogeneous Graph Neural Networks for Malicious Account Detection"
50 / 110 papers shown
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Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
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Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
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228
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25 May 2025
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
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Jing Ren
Mingliang Hou
Zhixuan Liu
Xiaomei Bai
425
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12 May 2025
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
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Laura Toni
338
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11 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
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Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
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273
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Graph Neural Networks for Financial Fraud Detection: A Review
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KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
Conference on Computer and Communications Security (CCS), 2024
Andy Zhou
Xiaojun Xu
Ramesh Raghunathan
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Xinze Guan
Bin Yu
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10 Oct 2024
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
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Rabinder Kumar Prasad
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191
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10 Oct 2024
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
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Jianhua Yao
Jiajing Wang
Yingbin Liang
Shuhan Liao
Minheng Xiao
GNN
358
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15 Sep 2024
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection
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Shaofeng Cai
Wei Zhang
H. V. Jagadish
Beng Chin Ooi
Meihui Zhang
252
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Advanced Financial Fraud Detection Using GNN-CL Model
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Junjie Guo
Shiqing Long
You Wu
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Rong Zhang
263
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SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning
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Zhenli Sheng
Yunhai Tong
AAML
270
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Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs
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Qijie Bai
Changli Nie
Haiwei Zhang
Zhicheng Dou
Xiaojie Yuan
314
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Anomaly Detection in Graph Structured Data: A Survey
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358
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323
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Daixin Wang
Qing Cui
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Kai Huang
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AI4TS
252
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11 Mar 2024
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
Haolin Li
Shuyang Jiang
Lifeng Zhang
Siyuan Du
Guangnan Ye
Hongfeng Chai
390
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27 Feb 2024
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
355
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22 Feb 2024
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach
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Jiannong Cao
Yu Yang
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Ho Man Lee
232
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19 Feb 2024
Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Data
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Emilio Ferrara
263
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31 Dec 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
IEEE International Conference on Data Engineering (ICDE), 2023
Xin Gao
Wentao Zhang
Junliang Yu
Yingxiao Shao
Quoc Viet Hung Nguyen
Tengjiao Wang
Hongzhi Yin
AI4CE
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481
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17 Oct 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
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Guangzhong Wang
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294
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12 Oct 2023
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Akihiro Kishimoto
Hiroshi Kajino
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Junta Fuchiwaki
Indra Priyadarsini
Lisa Hamada
Hajime Shinohara
D. Nakano
Seiji Takeda
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269
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28 Sep 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs
ICCD (ICCD), 2023
Jiawen Wang
Quan Chen
Deze Zeng
Zhuo Song
Yiwu Yao
Minyi Guo
GNN
307
5
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27 Sep 2023
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Mahmoud Nazzal
Issa M. Khalil
Abdallah Khreishah
Nhathai Phan
Yao Ma
AAML
264
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22 Aug 2023
Label Inference Attacks against Node-level Vertical Federated GNNs
Marco Arazzi
Mauro Conti
Stefanos Koffas
Marina Krček
Antonino Nocera
S. Picek
Jing Xu
FedML
AAML
329
2
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04 Aug 2023
Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects
Chao Zhang
Xingyue Pu
Mihai Cucuringu
Xiaowen Dong
140
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0
01 Aug 2023
Addressing the Impact of Localized Training Data in Graph Neural Networks
S. Akansha
373
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24 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Neural Information Processing Systems (NeurIPS), 2023
Eli Chien
Wei-Ning Chen
Chao Pan
Pan Li
Ayfer Özgür
O. Milenkovic
464
24
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12 Jul 2023
Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer
Yue Tian
Guanjun Liu
AI4TS
182
6
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11 Jul 2023
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs
IEEE International Conference on Data Engineering (ICDE), 2023
Dalong Zhang
Xianzheng Song
Zhiyang Hu
Yang Li
Miao Tao
Binbin Hu
Lin Wang
Qing Cui
Jun Zhou
GNN
285
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01 Jul 2023
SENSEi: Input-Sensitive Compilation for Accelerating GNNs
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Vimarsh Sathia
Gerasimos Gerogiannis
Serif Yesil
Josep Torrellas
Charith Mendis
GNN
224
1
0
27 Jun 2023
Provably Powerful Graph Neural Networks for Directed Multigraphs
AAAI Conference on Artificial Intelligence (AAAI), 2023
Béni Egressy
Luc von Niederhäusern
Jovan Blanusa
Erik Altman
Roger Wattenhofer
Kubilay Atasu
315
37
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20 Jun 2023
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting
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Dan Yang
Binbin Hu
Xiaoyan Yang
Yue Shen
Qing Cui
Jinjie Gu
Guannan Zhang
251
6
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30 May 2023
A Comprehensive Survey on Deep Graph Representation Learning
Neural Networks (Neural Netw.), 2023
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
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Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
573
283
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11 Apr 2023
Graph Mining for Cybersecurity: A Survey
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Bo Yan
Cheng Yang
Chuan Shi
Yong Fang
Qi Li
Yanfang Ye
Junping Du
389
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02 Apr 2023
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Xinxin Hu
Haotian Chen
Junjie Zhang
Hongchang Chen
Shuxin Liu
Xing Li
Yahui Wang
Xiangyang Xue
221
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29 Mar 2023
TraffNet: Learning Causality of Traffic Generation for What-if Prediction
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Qiang Ai
Ruimin Li
Yunyi Ma
Geqi Qi
Xiangfu Meng
Haibo Jin
653
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28 Mar 2023
Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection
IEEE Transactions on Computational Social Systems (IEEE TCSS), 2023
Xinxin Hu
Haotian Chen
Hongchang Chen
Shuxin Liu
Xing Li
Shibo Zhang
Yahui Wang
Xiangyang Xue
GNN
211
51
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28 Mar 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis
European Symposium on Security and Privacy (Euro S&P), 2022
Haoyu He
Yuede Ji
H. H. Huang
244
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26 Mar 2023
Geometric Imbalance in Semi-Supervised Node Classification
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Shengzhong Zhang
Bisheng Li
Min Zhou
Zengfeng Huang
Min Zhou
Weiyang Ding
Yutong Xie
Zengfeng Huang
406
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18 Mar 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
IEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023
Mahmoud Nazzal
Abdallah Khreishah
Joyoung Lee
Shaahin Angizi
Ala I. Al-Fuqaha
Mohsen Guizani
286
19
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28 Feb 2023
Homophily-oriented Heterogeneous Graph Rewiring
The Web Conference (WWW), 2023
Jiayan Guo
Lun Du
Wendong Bi
Qiang Fu
Xiaojun Ma
Xu Chen
Shi Han
Dongmei Zhang
Yan Zhang
273
42
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13 Feb 2023
GRANDE: a neural model over directed multigraphs with application to anti-money laundering
Industrial Conference on Data Mining (IDM), 2022
Ruofan Wu
Boqun Ma
Hong Jin
Wenlong Zhao
Weiqiang Wang
Tianyi Zhang
152
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04 Feb 2023
Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms
Penghang Liu
Rupam Acharyya
Rupam Acharyya
Robert E. Tillman
Shunya Kimura
N. Masuda
Ahmet Erdem Sarıyüce
196
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18 Jan 2023
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