2023 | Graph Signal Processing Workshop

Following a series of successful workshops since 2016, we are pleased to announce that the 6th Edition of the Graph Signal Processing Workshop will be held June 12-14 in Oxford, UK 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.

GSP 2023 is kindly supported by the ELLIS Units of Madrid and Lausanne, and the Center for Intelligent Systems at EPFL.

News

[2023/06/17] Thank you for attending GSP’23! Photos of speakers and formal dinner can be downloaded here.
[2023/06/12] Welcome to GSP’23! Slides for the opening address can be downloaded here.
[2023/06/02] Updated information about getting to Oxford is provided on the “Venue” page.
[2023/05/20] The programme of the workshop is now available on the “Schedule” page.
[2023/03/29] Notification of acceptance of abstracts has been sent out.
[2023/02/22] Registration is now open. Details can be found on the “Registration” page.
[2023/02/01] Submission is now open. Guilelines can be found on the “Call for papers” page.