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This repository implements a StellarGraph-based GCN approach that interprets malware byteplot RGB pixel values as nodes, and node differences are treated as edge weights. Using 4-connectedness, this method is evaluated on the Malimg dataset with 10-fold cross validation and a GCN hyperparameter grid search.
MatthewCSC/2024-4-Connected-StellarGraph-GCN-For-Malimg-Dataset
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This repository implements a StellarGraph-based GCN approach that interprets malware byteplot RGB pixel values as nodes, and node differences are treated as edge weights. Using 4-connectedness, this method is evaluated on the Malimg dataset with 10-fold cross validation and a GCN hyperparameter grid search.
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