Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including connections to different types of databases is a critical ...

Abstract: The node classification in graphs aims to predict the categories of unlabeled nodes utilizing a small set of labeled nodes. However, weighted graphs often contain noisy edges and anomalous ...

The China data center business owned by Bain Capital’s Chindata Group Holdings Ltd. has drawn interest from local bidders seeking to expand in the sector to tap a boom in artificial intelligence, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...

Data visualizations are some of the most powerful tools in a climate science communicator’s playbook. The most famous have taken on enormous symbolic value—like the “Hockey Stick” graph showing rising ...

Add a description, image, and links to the graph-data-structure topic page so that developers can more easily learn about it.

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Edwards Deming famously said, “In God we trust; all others bring data.” As we’ve evolved from analytics to data science to AI, the world has never been more data driven. And as a leader, you are ...

Abstract: Graph neural network is a new neural network model in recent years, whose advantage lies in processing graph structure data. In the era of big data, people can collect a large amount of ...

ChatGPT can go far beyond writing an email or coding a complex project. Some of the most useful applications are assistance with practical tasks in your everyday life, such as explaining that really ...