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Graph signal processing Geometric deep learning

Graph signal processing

Graph signal processing is a fast growing field where classical signal processing tools developed in the Euclidean domain have been generalised to irregular domains such as graphs. Below you can find a (non-exhaustive) list of useful resources in the field of graph signal processing.

Conferences/Workshops/Special Issues

Reviews/Tutorials

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Geometric deep learning

Geometric deep learning is a new field where deep learning techniques have been generalised to geometric domains such as graphs and manifolds. As such, it has an intimate relationship with the field of graph signal processing. Below you can find a (non-exhaustive) list of useful resources in the field of geometric deep learning, and more broadly representation learning on graphs and relational reasoning.

Conferences/Workshops

Reviews/Tutorials

Websites

Toolboxes