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20232025
most citedPosition: Graph Learning Will Lose Relevance Due To Poor Benchmarks

2 citations · 2 across the 2 of their papers we have counts for

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cs.LG2024

Aligning Transformers with Weisfeiler-Leman

Luis Müller, Christopher Morris

Graph neural network architectures aligned with the -dimensional Weisfeiler--Leman (-WL) hierarchy offer theoretically well-understood expressive power. However, these archit…

cs.LG2024

Towards Principled Graph Transformers

Luis Müller, Daniel Kusuma, Blai Bonet +1

Graph learning architectures based on the k-dimensional Weisfeiler-Leman (k-WL) hierarchy offer a theoretically well-understood expressive power. However, such architectures often…