Abstract: In recent years, Graph Neural Networks (GNNs) have achieved significant success in graph-based tasks. However, they still face challenges in complex scenarios, particularly in integrating ...

In this study, we propose a novel drug repositioning method named RSML-GCN, which applies graph convolutional network and reinforcement symmetric metric learning ... extends the convolutional neural ...

Abstract: Frequency-selective surfaces (FSS) that function as spatial electromagnetic filters are critical components in applications such as antenna radomes and interference mitigation. Moreover, ...

This article introduces an innovative depression prediction strategy that merges time-frequency complexity ... We choose BReLU as the non-linear activation function. Using spectral pooling operation ...