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Our lab is developing the PyGSP, a python package for graph signal processing. It may be relevant to your graph computing list. Our approach is different from the other packages as we take a signal processing point-of-view to computations. The Emerging Field of Signal Processing on Graphs provides a nice overview.
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Thanks for the links. I don't have the mathematical background to understand this topic, but that doesn't mean we can't add this library here (and its Matlab counterpart?). Also, I'm really curious about the potential applications in social, energy or transportation.
Applications are plenty indeed. It has been used for traffic forecasting, biology (where molecules are modeled as graphs), chemistry, neuroscience (with functional or structural connectomes), computer graphics (points clouds and meshes), and many more. Most of it is still research. I'm not sure about commercial applications.
We can add the matlab counterpart as well. ;) Note that it is however not maintained anymore (our lab moved to Python). At least as long as none of its users is willing to take over.
Our lab is developing the PyGSP, a python package for graph signal processing. It may be relevant to your graph computing list. Our approach is different from the other packages as we take a signal processing point-of-view to computations. The Emerging Field of Signal Processing on Graphs provides a nice overview.
The text was updated successfully, but these errors were encountered: