David Gerbing, Ph.D, from Portland State University, explores professional, interactive data visualization for everyone ...

Spreadsheets are still useful, but if you do a lot of work with numbers, you'll realize that they have limitations.

This project is developed based on libraries such as Pandas and Matplotlib, and can be used to draw line graphs of multiple index parameters such as algorithm accuracy and speed of multiple deep ...

It would be impossible to sum up 2025 with one single moment. It has been an eventful, often confusing, curious 12 months.

Abstract: This paper proposes a graph linear canonical transform (GLCT) by decomposing the linear canonical parameter matrix into fractional Fourier transform, scale transform, and chirp modulation ...

This is the Pytorch implementation for our TheWebConf'24 paper "Linear-Time Graph Neural Networks for Scalable Recommendations". Please find our paper in ACM Digital ...

Abstract: In recent years, there has been a growing interest in graph signal processing due to its capability to model and analyze irregular data generated by wireless sensor networks (WSNs).

This is a valuable study that investigates peptidoglycan (PG) recycling in Caulobacter crescentus, demonstrating its importance for β-lactam resistance, cell morphology, and cell division. The ...