Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall

Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...

When Your AI Becomes Your Confidant: What Microsoft’s Copilot Report Reveals—And What It Should Measure Next

What Microsoft’s Copilot Report Reveals—and the Missing Questions About Human Impact and What It Should Measure Next.
IEEE

Knowledge Graph Construction for Big Data Management and Applications Based on RoBERTa-BiLSTM-CRF Modeling

Abstract: With the increasing requirements for the development and utilization of big data, it becomes more and more important to cultivate big data talents to meet the needs of society. The ...
Microsoft

Methods for Recovering Conditional Independence Graphs: A Survey

Conditional Independence (CI) graphs are a type of probabilistic graphical models that are primarily used to gain insights about feature relationships. Each edge represents the partial correlation ...
IEEE

Counterfactual Data Augmentation With Denoising Diffusion for Graph Anomaly Detection

Abstract: A critical aspect of graph neural networks (GNNs) is to enhance the node representations by aggregating node neighborhood information. However, when detecting anomalies, the representations ...
GitHub

johngmuender/fork_graphrag-workbench

A modern, interactive web application for building and visualizing knowledge graphs using Microsoft's GraphRAG framework. Transform your documents into an explorable 3D knowledge graph with advanced ...