Call for papers

Important dates

  • Abstract submission deadline April 6 2018 (extended deadline !)
  • Notification of acceptance April 27 2018
  • Early registration deadline May 5 2018
  • Registration deadline June 1 2018
  • Workshop June 6-8 2018


We look forward to welcoming you to Lausanne to participate in this very stimulating workshop.
We accept submission of 2-page extended abstracts. Accepted contributions will be arranged in the format of oral or poster presentations. The workshop is a venue to share recent research results with no published proceedings. The workshop accepts submission of review papers if they are clearly identified as such.

Submission is closed.

Areas of interest

A graph signal is a signal in which relationships between its components follows the structure encoded in a weighted graph. The purpose of graph signal processing is to exploit this underlying structure to analyze and process graph signals. The last few years have seen significant progress in the development of theory, tools, and applicationsĀ  of graph signal processing. The Graph Signal Processing Workshop is a forum intended to disseminate ideas to a broader audience and to exchange ideas and experiences on the futureĀ  path of this vibrant field.

We are currently accepting abstract submissions in the theory and practice of graph signal processing.

Topics of interest include:

  • Sampling and recovery of graph signals
  • Graph filter and filter bank design
  • Uncertainty principles and other fundamental limits
  • Graph signal transforms
  • Graph filter identification
  • Graph topology inference
  • Statistical graph signal processing
  • Signal processing on in high-order graphs
  • Non-linear graph signal processing
  • Prediction and learning in graphs
  • Geometric deep learning (graph CNNs/RNNs)
  • Reinforcement learning on graphs
  • Representation learning on graphs
  • Applications to image and video processing
  • Applications to neuroscience and other
    medical fields
  • Applications to economics and social
  • Applications to infrastructure networks (e.g.,
    communication, transportation, power