Cover Image

Graph Neural Network with One-side Edge Sampling for Fraud Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Trieu, Hoang Hiep
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum Topological Graph Neural Networks for Detecting Complex Fraud Patterns
by: Doost, Mohammad, et al.
Published: (2025)

A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms
by: Hewageegana, Kanishka, et al.
Published: (2025)

Financial Fraud Detection using Quantum Graph Neural Networks
by: Innan, Nouhaila, et al.
Published: (2023)

Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection
by: Kim, Heehyeon, et al.
Published: (2023)

Temporal-Aware Graph Attention Network for Cryptocurrency Transaction Fraud Detection
by: Zheng, Zhi, et al.
Published: (2025)

Graph-Based Fraud Detection with Dual-Path Graph Filtering
by: He, Wei, et al.
Published: (2026)

Edge Prompt Tuning for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
by: Duan, Yifan, et al.
Published: (2024)

Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
by: Choi, Jinhyeok, et al.
Published: (2024)

Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
by: Singh, Moirangthem Tiken, et al.
Published: (2024)

Dual-channel Heterophilic Message Passing for Graph Fraud Detection
by: Zhang, Wenxin, et al.
Published: (2025)

Multi-Scale Adaptive Neighborhood Awareness Transformer For Graph Fraud Detection
by: Lv, Jiaqi, et al.
Published: (2026)

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
by: Hoang, Van Thuy, et al.
Published: (2024)

Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement
by: Potin, Lucas, et al.
Published: (2023)

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
by: Younesian, Taraneh, et al.
Published: (2023)

Credit Card Fraud Detection
by: Popova, Iva, et al.
Published: (2025)

Fraud Detection Through Large-Scale Graph Clustering with Heterogeneous Link Transformation
by: Liu, Chi
Published: (2025)

Refined Edge Usage of Graph Neural Networks for Edge Prediction
by: Jin, Jiarui, et al.
Published: (2022)

Partitioning Message Passing for Graph Fraud Detection
by: Zhuo, Wei, et al.
Published: (2024)

Spectral Theory for Edge Pruning in Asynchronous Recurrent Graph Neural Networks
by: Bessone, Nicolas
Published: (2025)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
by: Chen, Zhaoliang, et al.
Published: (2024)

Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
by: Heo, Jaeseung, et al.
Published: (2025)

On the Potential of Network-Based Features for Fraud Detection
by: Azarm, Catayoun, et al.
Published: (2024)

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
by: Li, Yuan, et al.
Published: (2025)

Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection
by: Huang, Tairan, et al.
Published: (2025)

Towards Quantum-Ready Blockchain Fraud Detection via Ensemble Graph Neural Networks
by: Haider, M. Z., et al.
Published: (2025)

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
by: Nguyen, Huu Hiep, et al.
Published: (2026)

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
by: Zhao, Zhehan, et al.
Published: (2024)

DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
by: Zhang, Zeyu, et al.
Published: (2024)

Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
by: Bei, Yuanchen, et al.
Published: (2024)

TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks
by: Sajja, Bhavana
Published: (2026)

Graph Neural Thompson Sampling
by: Wu, Shuang, et al.
Published: (2024)

Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks
by: Choi, Yoonhyuk, et al.
Published: (2024)

Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems
by: Zhou, Ao, et al.
Published: (2024)

Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2023)

All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract)
by: Sun, Xiangguo, et al.
Published: (2024)

GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
by: Xiao, Wenjing, et al.
Published: (2025)

Sampling Transferable Graph Neural Networks with Limited Graph Information
by: Wang, Haoyu, et al.
Published: (2024)

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
by: Xu, Fan, et al.
Published: (2023)

Pre-training Graph Neural Networks on 2D and 3D Molecular Structures by using Multi-View Conditional Information Bottleneck
by: Hoang, Van Thuy, et al.
Published: (2025)