To see live versions of the charts included in this article, and the code used to create them, see my GitHub project repository here. When working with text datasets, getting a handle on the “who…
Graph neural networks are intimately related to partial differential equations governing information diffusion on graphs. Thinking of GNNs as PDEs leads to a new broad class of graph ML methods.