Graph Signal Processing Workshop 2024

Following a series of successful workshops since 2016, we are pleased to announce that the 7th Edition of the Graph Signal Processing Workshop will be held June 24-26 in Delft, The Netherlands 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 2024 is kindly supported by the Dutch Research Council, Elsevier, MathWorks, TU Delft, the TU Delft AI Initiative, the Ken Kennedy Institute, Shell, and the Ellis Unit - Madrid.


  • [2024/05/01] The technical program is up! Check it out under the “Program” tab.
  • [2024/04/08] Registration is open here. Register by April 21 for early bird fees.
  • [2024/02/01] Submission deadline extended to March 25. Submit here.
  • [2024/02/01] Submissions are open here.
  • [2023/11/06] The website is now up.

Important Dates

  • Submission open: February 1, 2024
  • Submission deadline: March 15, 2024 March 25, 2024
  • Notification of acceptance: April 1, 2024 April 8, 2024
  • Early registration: April 8, 2024 April 21, 2024
  • Workshop: June 24-26, 2024

Invited Speakers

Organizing Committee

Local Student Volunteers