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Luis Müller
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Luis Müller
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2026-01-13 03:58:12
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Luis Müller Luis Müller Hi 👋, I’m Luis, a second year PhD student at RWTH Aachen University under the supervision of Christopher Morris . I’m interested in studying the capabilities and limitations of general-purpose machine learning architectures in the context of graph learning. My current research focus is on deriving a principled understanding of graph transformers and their potential benefits over GNNs. Email: luis.mueller@cs.rwth-aachen.de. Twitter GitHub LinkedIn Preprints Towards Principled Graph Transformers Luis Müller , Daniel Kusuma, Christopher Morris We show that the Edge Transformer, a model originally proposed for improved systematic generalization over standard transformers, has provable 3-WL expressivity. We then demonstrate through a range of experiments on expressivity, molecular prediction and neural algorithmic reasoning benchmarks that the Edge Transformer matches or improves over SOTA graph learning models in terms of predictive performance....
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