Abstract: Amid the era of rapid integration of Graph Neural Networks (GNNs) into diverse applications, such as anomaly detection in heterogeneous graphs, the pursuit of interpretable and dependable ...
Abstract: This research aims to develop a phishing detection model using the K-Nearest Neighbors (KNN) algorithm and compare its performance with Decision Tree (DT). With phishing threats on the rise, ...
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