1 citations · 1 across the 9 of their papers we have counts for
3 papers · 2 filters
Expressive Power of Graph Transformers via Logic
Veeti Ahvonen, Maurice Funk, Damian Heiman +2
Transformers are the basis of modern large language models, but relatively little is known about their precise expressive power on graphs. We study the expressive power of graph tr…
Graph neural networks and MSO
Veeti Ahvonen, Damian Heiman, Antti Kuusisto
We give an alternative proof for the existing result that recurrent graph neural networks working with reals have the same expressive power in restriction to monadic second-order l…
Formula size game and model checking for modal substitution calculus
Veeti Ahvonen, Reijo Jaakkola, Antti Kuusisto
Recent research has applied modal substitution calculus (MSC) and its variants to characterize various computational frameworks such as graph neural networks (GNNs) and distributed…