One powerful way to do this is through a routine called slow reveal graphs.

Abstract: In light of the growing emphasis on the right to be forgotten of graph data, machine unlearning has been extended to unlearn the graph structures’ knowledge from graph neural networks (GNNs) ...

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 ...

The Eclipse Foundation's Jakarta EE Working Group has released Jakarta EE 11, the latest version of its enterprise Java platform, marking a significant step in modernizing enterprise Java development ...

When Patrick Dorgu’s €30million move from Lecce was finally confirmed last month, there was something different about Manchester United’s usually formulaic announcement of a new signing. This time, ...

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible. Sometime in the fall of 2021, Andrew ...

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

Data visualization is a powerful technique that transforms complex data into easily understandable visual representations. Let us explore how data visualization can help with graphs. Applying data ...

A high-performance library for graph algorithms written in Java. It contains a wide collection of optimized algorithms and data structures for a range of problems on graphs.

Ego-centric searches are essential in many applications, from financial fraud detection to social network research, because they concentrate on a single vertex and its immediate neighbors. These ...