Extremely insightful! Thanks so much! Also agree that developing >1-WL GNNs using subgraphs and transfer learning (incl. pretraining) would be quite popular this year. Do you have any paper recommendations for latent graph inference?
Really good lecture about Geometric Deep Learning! Recently, my research paper applying GNN was questioned about the robustness of the model. This lecture gave me a lot of inspiration.