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AUC-oriented Graph Neural Network for Fraud Detection (ACM SIGWEB)
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GNN Project #3.1 - Graph-level predictions (DeepFindr)
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H2 -FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections (ACM SIGWEB)
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LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering (Feedzai | Fraud and Financial Crime)
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Smart Contract Vulnerability Detection Based on Dual Attention Graph Convolutional Network (EAI)
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Confusion Matrix Solved Example Accuracy Precision Recall F1 Score Prevalence by Mahesh Huddar (Mahesh Huddar)
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Coding tutorial: Link prediction with Graph Neural Network (YanAITalk)
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Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detectio (Academia Accelerated)
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Dense Flows: A Generative Adversarial Method to Train Models to Detect Money Laundering (Feedzai | Fraud and Financial Crime)
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Confusion Matrix ll Accuracy,Error Rate,Precision,Recall Explained with Solved Example in Hindi (5 Minutes Engineering)
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