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: 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 ...

Two Russian soldiers emerged from the woods and walked slowly down a dirt road, seemingly unaware that they were being monitored from the sky. By the time they raised their rifles to fire at a buzzing ...

Abstract: Hyperspectral image (HSI) clustering is a fundamental yet challenging task that typically operates without training labels. Recent advancements in deep graph clustering methods have shown ...