Abstract: Interpretability often seeks domain-specific facts, which is understandable to human, from deep-learning (DL) or other machine-learning (ML) models of black-box nature. This is particularly ...

This source refers to our original paper "Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-Convolution" (https://ieeexplore.ieee.org ...

SINC-GCN, as an instance of the neighborhood-contextualized message-passing (NCMP) GNN variant, integrates contextualized messages (i.e., anisotropic and dynamic messages) and ...