Machine Learning, Deep Learning, Neural Networks, Artificial Intelligence, Towards Data Science.
When handling sequences of graphs, a recurrent version of GNNs is necessary [11][12]. However, much like regular recurrent neural networks (RNNs) and their variants, fixed discretizations do not allow operations on irregularly sampled data. This fact has motivated further developments in the form