10 datasets found

The stochastic block model is a statistical problem where the goal is to recover a community structure from a graph. The model is defined by a graph G with vertex set [n] =...

The dataset used in the paper is a graph signal dataset, which is a graph signal defined over a graph. The dataset is used to test the proposed algorithm for sampling set design...

Blind demixing of diffused graph signals, an extension of blind demixing of time (or spatial) domain signals to graphs.

Background subtraction is a fundamental pre-processing task in computer vision. This task becomes challenging in real scenarios due to variations in the background for both...

The dataset used in the paper is a graph signal processing dataset, where the goal is to estimate a parameter vector of interest using a distributed adaptive network.

Signal-adapted tight frames on graphs

Gaussian Processes on Graphs via Spectral Kernel Learning

The dataset used in the paper is a real-world graph dataset, where the goal is to recover signal values on test nodes.

A synthetic dataset of 200 graphs with 5 nodes each, where nodes were randomly placed within a designated area of operation using a random point configuration of the Euclidean...

The dataset used in the paper is a graph signal regression task, where the goal is to recover signal values on test nodes.