Abstract: Approximation-based spectral graph neural networks, which construct graph filters with function approximation, have ...
Abstract: In this paper, a decentralized implementation of heat kernel smoothing (HKS) is presented by using a rational graph ...
State-space models (SSMs) are crucial in deep learning for sequence modeling. They represent systems where the output depends on ...
We present some relations that allow the efficient approximate inversion of linear differential operators with rational function ...
Peptoids, or n-substitued glycines, are complex and diverse oligomeric structures which have been explored for a number of ...