IEEE

Dual-Semantic Graph Convolution Network for Hyperspectral Image Classification With Few Labeled Samples

Abstract: In recent years, superpixel-based graph convolutional networks (GCNs) have drawn increasing attention within the hyperspectral image (HSI) classification community. Due to the ...
IEEE

A Flexible Diffusion Convolution for Graph Neural Networks

Abstract: Graph Neural Networks (GNNs) have been gaining more attention due to their excellent performance in modeling various graph-structured data. However, most of the current GNNs only consider ...
Women's Health

20 gaslighting examples and how to respond to them

You may have come across the term 'gaslighting' while casually scrolling on TikTok or in an Instagram infographic, and wondered if it's happening you. The origins of the word 'gaslight' come from a ...
C&EN

Graph Transformer with Convolution Parallel Networks for Predicting Single and Binary Component Adsorption Performance of Metal–Organic Frameworks

Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China ...