Improved Modeling and Generalization Capabilities of Graph Neural Networks With Legendre Polynomials
Abstract: LegendreNet is a novel graph neural network (GNNs) model that addresses stability issues present in traditional GNN models such as ChebNet, while also more effectively capturing higher-order ...
Abstract: In this paper, the design and application of Hermite polynomial graph filter is studied. First, the basics of graph signal processing (GSP) is briefly reviewed and the design problem of ...
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