AutoG is a novel framework that addresses the critical challenge of automatically constructing high-quality graphs from tabular data for graph machine learning (GML) applications. While GML has seen ...

A solution that you can use to perform a bulk update on Amazon DynamoDB tables using AWS Step Functions. You can modify, deploy and test this solution as necessary to meet the needs of your own bulk ...

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

The new program is validated in a set of clinical pedigrees demonstrating its practical accuracy and relevance to the field. Collectively, the data are compelling and support the major conclusions of ...

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

I'm not a proponent of bigger government, but a robust, nonpartisan program of economic data collection is necessary for ...

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 ...

As with statsmodels, Matplotlib does have a learning curve. There are two major interfaces, a low-level "axes" method and a ...

Discover how Excel's AI-powered Agent Mode automates financial modeling, saving you time and reducing errors. Faster, smarter ...

Oracle also introduced Autonomous AI Lakehouse, a new platform that combines Oracle’s Autonomous AI Database with the open ...

I prefer restaurants that specialize and perfect a certain type of cuisine. I don’t want my barbecue restaurant to offer ...