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.
Going to a conference is always an excitement and fun: one can connect with like-minded individuals and exchange stimulating ideas. However, in order to make the most out of a conference, a lot of hard work is needed before, during and after the meeting. This blog post provides a checklist of things to do before,…