School of Mines, State Key Laboratory of Coal Resources and Safe Mining (CUMT), China University of Mining and Technology, Xuzhou221116, China ...

A reply network was extracted from the data set, and exponential random graph models were used to discover patterns of information exchange and social support from the network. Results: Results showed ...

Discover what exponential growth is, learn how it differs from other growth types, and explore real-life examples like compounding interest and population growth.

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Graph AI closed a $3 million Seed round led by Bessemer to scale Graph Safety — an AI-native platform that automates adverse event processing, signal detection and regulatory reporting in the $8B ...

A minimalistic and customizable graph card for Home Assistant Lovelace UI. The card works with entities from within the sensor & binary_sensor domain and displays the sensors current state as well as ...

Abstract: In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs a graph ...

Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...