Utilizing market research to inform decision-making begins with clearly identifying the objective: What specific goal am I ...

Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...

LEXINGTON, Ky. (WKYT) - Employees sharing public comments about Charlie Kirk’s death have led to consequences nationwide. It’s happened here in the Commonwealth, too. A tattoo artist in Bullitt County ...

The book report is now a thing of the past. Take-home tests and essays are becoming obsolete. Student use of artificial intelligence has become so prevalent, high school and college educators say, ...

The book report is now a thing of the past. Take-home tests and essays are becoming obsolete. High school and college educators around the country say student use of artificial intelligence has become ...

Editor’s note: This is a lightly edited transcript of today’s video from Daily Signal Senior Contributor Victor Davis Hanson. Subscribe to our YouTube channel to see more of his videos. Hello, this is ...

Abstract: The issue of transaction security has attracted widespread attention due to the frequent occurrence of financial fraud. Graph neural networks (GNNs) can effectively detect financial ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

This is a PyTorch implementation of the GraphATA algorithm, which tries to address the multi-source domain adaptation problem without accessing the labelled source graph. Unlike previous multi-source ...