MALHAPGNN: AN ENHANCED CALL GRAPH-BASED MALWARE DETECTION FRAMEWORK USING HIERARCHICAL ATTENTION POOLING GRAPH NEURAL NETWORK

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

While 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 file level.M

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After the Storm: Ophthalmic Manifestations of COVID-19 Vaccines

Several COVID-19 vaccines have been developed and approved for use around the world from December Protective Wear 2020, to combat the pandemic caused by the novel SARS-CoV-2 virus.Several ophthalmic manifestations of the COVID-19 vaccines have been reported by ophthalmologists.This review was undertaken to recognize, encourage active reporting and

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The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era

The European Union funded the FLARECAST project, that ran from January 2015 until February 2018.FLARECAST had a research-to-operations (R2O) focus, Fun and Games and accordingly introduced several innovations into the discipline of solar flare forecasting.FLARECAST innovations were: first, the treatment of hundreds of physical properties viewed as

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