For example, the Chebyshev graph convolutional neural network ChebyNet ... Multi-order adjacency matrix propagation enables LGNN to flexibly adapt to the topology of different graphs and improves the ...

Abstract: The unconditionally stable (US) Chebyshev (CS) finite-difference time-domain (FDTD) method is extended for solving the problems of long-time simulation or harmonic resonance using a ...

Institute of Physics, University of Brasília, 70910-900 Brasília-DF, Brazil Computational Materials Laboratory, University of Brasília, 70910-900 Brasília-DF, Brazil Physics Postgraduate Program, ...

The Chebyshev Accelerated Subspace Eigensolver (ChASE) is a modern and scalable library based on subspace iteration with polynomial acceleration to solve dense Hermitian (Symmetric) algebraic ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

Mathematics is the universal language of science while computer science is the study of the hardware and algorithms that are used in modern computer systems. Since many of the early pioneers of ...

A flexible framework for solving PDEs with modern spectral methods.