Nvidia has expanded its support of NetworkX graph analytic algorithms in RAPIDS, its open source library for accelerated computing. The expansion means data scientists can run 40-plus NetworkX ...

Another key improvement is the native Python client. First ... said that this had not been much of an issue because running graph algorithms in memory is fast, and there are safeguards in place ...

For decades computer scientists had been trying to develop a fast algorithm for determining when it’s possible to add edges to a graph so that it remains “planar,” meaning none of its edges cross each ...

If you want to advance your data science skill set, Python can be a valuable tool ... Linear regression is a basic machine learning algorithm that is used for predicting a variable based on ...

and graph algorithms can process that data to do everything from making friend suggestions to detecting fraud. Now, researchers at KAIST – a national research university in Daejeon, South Korea – have ...

Graph mining algorithms typically focus on finding dense connections between individual pairs of points, such as two people who frequently communicate on social media. However, the researchers ...

Graph mining algorithms typically focus on finding dense connections between individual pairs of points, such as two people who frequently communicate on social media. However, the researchers ...