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Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer
Therefore, we propose a novel heterogeneous graph neural network called Spatial-Temporal-Aware Graph Transformer (STA-GT) for transaction fraud detection problems.
Transaction Fraud Detection via an Adaptive Graph Neural Network
A neighbor sampling strategy is performed to filter noisy nodes and supplement information for fraudulent nodes.
Height-Dependent LoS Probability Model for A2G MmWave Communications under Built-up Scenarios
Based on the three-dimensional propagation characteristic under built-up scenarios, a height-dependent line-of-sight (LoS) probability model for air-to-ground (A2G) millimeter wave (mmWave) communications is proposed in this paper.
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