Topological Generalisation in GNNs
Topological Generalisation with Advective Diffusion Transformers
One of the key open questions in the study of graph neural networks (GNNs) is their generalisation capabilities, in particular, under changes in the topology of the graph. In this post, we study this problem from the perspective of graph diffusion equations, which are intimately related…
Published in
9 min readOct 19, 2023
