European data centers are experiencing unprecedented demand as artificial intelligence workloads surge across the continent. Two major investment firms (KKR ...

This repository contains the implementation of the multifidelity graph neural networks (MFGNN) for efficient and accurate mesh-based partial differential equations (PDE) surrogate modeling. The ...

Abstract: Graph data publication has been considered as an important step for data analysis and mining. Graph data, which provide knowledge on interactions among entities, can be locally generated and ...

Abstract: Social graphs are essential for various data analysis, yet their direct publication introduces significant privacy risks due to the sensitive nature of their information. To mitigate these ...

Here, we address the problem of segmenting image into different regions. We first convert the image into a graph based representation by first constructing the superpixels by using Simple Linear ...