Tag: Graph Neural Networks

This post argues that the graph isomorphism setting is too limiting for analysing the expressive power of graph neural networks ...

This post discusses how to design local and computationally efficient provably powerful graph neural networks that are not based on ...

Do you have a feeling that deep learning on graphs is a bunch of heuristics that work sometimes and nobody ...

Most of the architectures used in graph deep learning are shallow with just a handful of layers. Does depth in ...

One of the challenges that have so far precluded the wide adoption of graph neural networks in industrial applications is ...