Is there an open-source implementation for graph convolution networks for weighted graphs? Currently, I'm using a Python library, StellarGraph, to implement GCN. And I now have a situation where I have graphs with weighted edges. Unfortunately, StellarGraph doesn't support those graphs

I'm looking for an open-source implementation for graph convolution networks for weighted graphs. I've searched a lot, but mostly they assumed unweighted graphs. Is there an open-source implementation for GCNs for weighted graphs?
A Comprehensive Survey on Graph Neural Networks (2019) presents a list of ConvGNN's. All of the following accept weighted graphs, and three accept those with edge weights as well:



And below is a series of open source implementations of many of the above: