MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network

While Horse Boots deep learning techniques have been extensively employed in malware detection, there is a notable challenge in effectively embedding malware features.Current neural network methods primarily capture superficial characteristics, lacking in-depth semantic exploration of functions and failing to preserve structural information at the

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Biochemical Constituents and Nutritive Evaluation of Some Less Known Wild Edible Plants from Senapati District, Manipur, India

Ten lesser known wild edible plants (WEPs) from Senapati District, Manipur, were analyzed for their proximate composition and mineral content.The study revealed that different WEPs have crude fat content that ranged between 0.41 - 21.5%, total sugar was found to be between 2.00 - 59.00%, total soluble protein between 1.40 - 8.0% and total amino aci

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