Geometric Deep Learning: GNNs Beyond Permutation Equivariance

[@Fetrose]

Very nice presentation. It is so informative, Peter.

[@vimukthirandika872]

Your explanation are really good!, Thank you!

[@nicolasgoulet4091]

Thank you so much for sharing all your work! My honours thesis will be a thing thanks to ideas I got from watching your lectures!

[@qiguosun129]

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.

[@HelloWorlds__JTS]

Phenomenal! Thanks, Petar!

[@MrAstor69]

Odlično predavanje sve pohvale.

[@yephuang1401]

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?

[@martinschulze5399]

Awesome lecture, much to learn

[@Janamejaya.Channegowda]

Thank you for sharing.

[@markadyash]

GNN has arrived