Abstract: This paper proposes a Fast Geometric Constructive Neural Network (FastGCNet) that aims to provide a fast learning paradigm for data-driven modelling in resource-constrained Industrial ...
Abstract: Analyses of temporal graphs provide valuable insights into temporal networks via two analytical approaches (temporal evolution and temporal information diffusion). The former explains how a ...
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