Graph AI raises $3M Seed from Bessemer to scale Graph Safety, an AI-native pharmacovigilance platform that automates ADE ...

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

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 ...

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

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 ...

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 ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...

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 ...