For the past few days, I am trying to learn graph convolutional networks. I saw some of the lectures on youtube. But I can not able to get any clear concept of how those networks are trained. I have a vague understanding of how to perform convolution, but I can not understand how we train them. I want a solid mathematical understanding of graph convolutional networks. So, can anyone please suggest me how to start learning graph convolutional network from start to expert level?
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$\begingroup$ See What is a graph neural network?. $\endgroup$ – nbro♦ Jul 24 '20 at 19:51
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I believe Graph Representation Learning book by William L. Hamilton is a great resource to start
