An Attention-Driven Heterogeneous GNN Model for Credit Card Fraud Detection

arXiv:2609.32106 · cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/kathiresan-jayabalan/graphfen-ccfd

Terminology

• Accuracy — 34× in this paper · explained in 1 episode
• Heterogeneous Graph — 21× in this paper · explained in 2 episodes
• Aggregation — 6× in this paper · explained in 1 episode
• Attention Mechanism — 6× in this paper · explained in 3 episodes
• Feature Selection — 6× in this paper · explained in 4 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Ablation study — 5× in this paper · explained in 1 episode
• Contrastive Learning — 5× in this paper · explained in 5 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Activation Function — 3× in this paper · explained in 1 episode
• Cuckoo Search — 3× in this paper
• Heterogeneous Graph Neural Network — 3× in this paper
• Adaptability — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Explainability — 2× in this paper · explained in 3 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Graph Construction — 2× in this paper · explained in 3 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Isolation Forests — 2× in this paper
• True Positive — 2× in this paper
• Variational Quantum Classifier — 2× in this paper
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Gated Recurrent Units — 1× in this paper
• Information Gain — 1× in this paper · explained in 2 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Local Outliers Factors — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Quantum Machine Learning — 1× in this paper
• Recurrent Neural Network — 1× in this paper
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• True Negative — 1× in this paper

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