Detecting Fraudulent Transactions for Different Patterns in Financial Networks Using Layer Weigthed GCN

Detecting Fraudulent Transactions for Different Patterns in Financial Networks Using Layer Weigthed GCN

Abstract As digital financial transactions and fraudulent activities grow in complexity, ensuring financial system security becomes increasingly challenging. This paper introduces LayerWeighted-GCN (LWG), a novel Graph Neural Network (GNN) model for fraud detection, along with a synthetic dataset na...

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Bibliographic Details
Main Authors: Shaziya Islam, Gagan Raj Gupta, Apu Chakraborty, Santosh Singh, Anisha Soni, Chhavi Patle
Format: Article
Language:English
Published: Springer Nature 2025-04-01
Series:Human-Centric Intelligent Systems
Subjects:
Graph Neural Network (GNN)
Graph Convolution Network (GCN)
GraphSage (GS)
Graph Attention Networks (GAT)
Layer Weighted GCN (LWG)
Online Access:https://doi.org/10.1007/s44230-025-00097-3
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https://doi.org/10.1007/s44230-025-00097-3

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