Graph Signal Processing Workshop

Following a series of successful workshops since 2016, we are pleased to announce that the 8th Edition of the Graph Signal Processing Workshop will be held May 14-16 in Montréal, Canada as an in-person event.

The workshop will provide a warm welcome to experts and practitioners from academia and industry in the field of graph signal processing (GSP). The goal of GSP is to generalize classical signal processing and statistical learning tools to signals on graphs (functions defined on a graph). The workshop will invite discussion on theoretical and foundational topics related to GSP, including graph transforms, sampling theorems, and filter design. The workshop will also highlight how such tools can be integrated into a learning framework, and show novel theoretical developments at the intersection of graph signal processing and graph machine learning. Examples of applications that will be showcased in the workshop include gene expression patterns defined on top of gene networks, the spread of epidemics over a social network, the congestion level at the nodes of a telecommunication network, and patterns of brain activity defined on top of a brain network.

This year, we also introduce the TMLR Journal Track (alongside our Extended Abstracts tracks), with which we aim to provide authors of recently published journal papers at TMLR with a platform to present their work to the GSP community. See our call for papers for more information!

GSP 2025 is kindly supported by Mila – Quebec AI Institute, Centre de recherches mathématiques (CRM) and Valence Labs.