IEEE

Semi-Supervised Learning With Graph Learning-Convolutional Networks

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...

Inside The Enterprise Shift Redefining Autonomous AI

As AI agents take on real work, new rules for autonomy are emerging that favor reliability, clarity and human control.
IEEE

A Multi-Graph Attention Spatial-Temporal Graph Convolutional Network (MGA-STGCN) for AHP Risk Forecasting

Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...
GitHub

A secure authentication module to manage user access in a Streamlit application

Using Streamlit-Authenticator is as simple as importing the module and calling it to verify your user's credentials. Please note that the 'failed_login_attempts' and 'logged_in' fields corresponding ...
GitHub

The adorable charts library for Golang.

If a language can be used to build web scrapers, it definitely needs to provide a graceful data visualization library. --- by dongdong. In the Golang ecosystem, there are not many choices for data ...