IEEE

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Abstract: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series ...
GitHub

symfony/microsoft-graph-mailer

Register an application in your Microsoft Azure portal, Grant this application the Microsoft Graph Mail.Send permission, Create a secret for that app. # MAILER MAILER ...
GitHub

The most powerful and modular stable diffusion GUI and backend.

Ctrl + C/Ctrl + V Copy and paste selected nodes (without maintaining connections to outputs of unselected nodes) Ctrl + C/Ctrl + Shift + V Copy and paste selected nodes (maintaining connections from ...
IEEE

Graph Representation Learning Based on Cognitive Spreading Activations

Abstract: Graph representation learning is an emerging area for graph analysis and inference. However, existing approaches for large-scale graphs either sample nodes in sequential walks or manipulate ...