GitHub

Icinga Web Performance Data Graphs

Icinga Web Module for Performance Data Graphs. This module enables graphs on the Host and Service Detail View for the respective performance data. The data is fetched by a "backend module", at least ...
IEEE

Graph Learning for Power Flow Analysis: A Global-Receptive Graph Iteration Network Method

Abstract: The data-driven methods based on the graph convolution architecture provide a promising direction for accelerating power flow (PF) calculation. These methods directly predict operational ...
Reuters

US FDA approves first at-home device for depression

Dec 11 (Reuters) - The U.S. Food and Drug Administration has approved Flow Neuroscience's at-home brain stimulation device to treat depression, offering an alternative to typical antidepressants that ...
GitHub

CGBridge: Bridging Code Graphs and Large Language Models for Better Code Understanding

CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...
IEEE

Enhancing Traffic Flow Forecasting With Delay Propagation: Adaptive Graph Convolution Networks for Spatio-Temporal Data

Abstract: Traffic flow Forecasting is essential in intelligent transportation systems. Although graph neural networks perform well with non-Euclidean traffic data, they exhibit limits in accurately ...