Graph neural network learns evolving cyberattacks without forgetting old threats
A graph convolutional network with incremental learning improves network anomaly detection across three benchmark datasets by adapting to evolving attack ...
A graph convolutional network with incremental learning improves network anomaly detection across three benchmark datasets by adapting to evolving attack ...
A synthetic simulation of scan-to-order transactions found that DS-GNN ranked privacy-leakage paths and estimated risk more accurately than four baselines, ...
A dual-stream graph neural network that encodes time-lagged relationships between market factors outperformed competing methods in forecasting carbon prices across ...
Researchers in India have published a detailed mathematical blueprint for a spatio-temporal graph foundation model designed to learn continuously from ...
Researchers have built a deep learning model that fuses stock prices, technical indicators, financial news sentiment, and dynamically updated inter-stock ...
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© 2025 Scienmag - Science Magazine