Abstract: Graph Neural Networks (GNNs) have been generalized to process the heterogeneous graphs by various approaches. Unfortunately, these approaches usually model the heterogeneity via various ...
Abstract: This study introduces a two-dimensional sine-based hyperchaotic map (2D-SBHM), which leverages the boundedness and periodicity of sinusoidal functions to enhance chaotic performance. The ...
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