#Logical Expressiveness of Machine Learning Models
Latest news articles tagged with "Logical Expressiveness of Machine Learning Models". Follow the timeline of events, related topics, and entities.
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🇺🇸 The Correspondence Between Bounded Graph Neural Networks and Fragments of First-Order Logic
[USA]
arXiv:2505.08021v4 Announce Type: replace Abstract: Graph Neural Networks (GNNs) address two key challenges in applying deep learning to graph-structured data: they handle varying size input graphs a...
Related: #Graph Neural Networks, #First‑Order Logic, #Finite Model Theory, #Modal Logic
About the topic: Logical Expressiveness of Machine Learning Models
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