GitHub

Code for Graph Signal Processing for Brain Networks (EEG / fMRI)

This project presents an implementation of graph signal processing (GSP) techniques applied to brain network data (e.g., EEG or fMRI). The goal is to explore how classical signal processing operations ...
GitHub

Example-for-temporal-attention-product

Generate Figure 4: Run a0_fig4_nodeclass.m in 1_Fig4_nodeclass. Generate Figure 6 and 7: Run a1_Fig6Fig7_signalf1_time.m and a1_Fig6Fig7_signalf2_friend.m in 2_meet_matlab. Generate Figure 8: Run ...
IEEE

Graph Signal Processing: Overview, Challenges, and Applications

Abstract: Research in graph signal processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper, we first provide an overview of core ideas in GSP and ...
IEEE

A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals

Abstract: Motivated by the emerging area of graph signal processing (GSP), we introduce a novel method to draw inference from spatiotemporal signals. Data acquisition in different locations over time ...