Traffic loss isn’t the full story as answer engines create higher-value demand, forcing CMOs to rethink SEO fundamentals, ...
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Abstract: Predicting high-energy proton flux is essential for radiation-effect protection of satellite devices. We introduce a dual-prediction framework based on Graph Neural Networks (GNN) to model ...
Abstract: This paper presents ETRGNN-ZT, a scalable and automated cybersecurity framework that integrates Neo4jbased knowledge graphs, Graph Neural Networks (GNNs) using the Deep Graph Library (DGL), ...