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, ...
Abstract: Hybrid GNNs, which learn both long-term structural information encoded in static graphs and temporal interactions within dynamic graphs, have attracted attention for their high predictive ...
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