IEEE

Skeleton-Based Action Recognition Using Multibranch Adaptive Graph Convolutional Network With Pose Refinement

Abstract: A multibranch adaptive graph convolutional network is proposed for human action recognition by combining graph convolutional networks (GCNs), adaptive learning, and multibranch feature ...
IEEE

Graph Kolmogorov–Arnold Convolutional Network for Hyperspectral Image Classification

Abstract: The graph neural network (GNN) exhibits noteworthy performance in hyperspectral image classification (HSIC) due to its efficient message-passing structure, which employs the multilayer ...
Computer Weekly

GraphQL as an ‘essential protocol’ for AI-API orchestration

The latest trends in software development from the Computer Weekly Application Developer Network. A new product will establish the graph-based industry standard for secure, orchestrated access to APIs ...
C&EN

Interpretable Multiscale Convolutional Neural Network for Classification and Feature Visualization of Weak Raman Spectra of Biomolecules at Cell Membranes

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Raman spectroscopy in biological applications faces challenges due to complex spectra, ...