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 ...
And now more cities are implementing curbside composting to help them meet their sustainability goals. New York is currently rolling out a mandatory composting program that will soon be effect in ...
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 ...
The most powerful and modular visual AI engine and application. ComfyUI lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart based interface. Available on ...
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 ...
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