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 ...

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 ...

As a small business owner, Liz understands the unique challenges entrepreneurs face. Well-versed in the digital landscape, she combines real-world experience in website design, building e-commerce ...

This repository contains available Azure Functions to integrate Microsoft data with Splunk. Azure Functions can be triggered by certain events like an event arriving on an Event Hub, a blob written to ...

We have refactored this library after v0.10.0. If you want to use the old version, please, see branch v0. If you want to use an old version, you can set the version ...