IEEE

A Nonlinear Weighted Graph Convolution Network Based on Manifold Geometric Regularization for Hyperspectral Image Classification

Abstract: Extracting spatial–spectral joint features has become a critical approach for improving model classification performance in the field of hyperspectral image classification (HSIC). However, ...
IEEE

A Deep Reinforcement Learning with Transformer Integration for Directed Acyclic Graph Scheduling in Edge Networks

Abstract: The rapid adoption of 5G technology and Internet of things (IoT) devices has fueled significant growth in intelligent applications, increasing their complexity beyond simple task definitions ...
GitHub

Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering

python 3.9 Pytorch 2.1.0 If you find WeightedGCL useful in your research, please consider citing our paper. @inproceedings{chen2025squeeze, title={Squeeze and Excitation: A Weighted Graph Contrastive ...
GitHub

Business Charts for Grafana

This project was originally contributed by Volkov Labs - thanks for all your great work! We have republished under the same plugin ID, keeping the community signature. This means you can simply update ...