IEEE

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 ...
IEEE

Chebyshev and conjugate gradient filters for graph image denoising

Abstract: In 3D image/video acquisition, different views are often captured with varying noise levels across the views. In this paper, we propose a graph-based image enhancement technique that uses a ...