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cs.LG2021★ 4 cited
A Study of Continuous Vector Representationsfor Theorem Proving
Stanisław Purgał, Julian Parsert, Cezary Kaliszyk
Applying machine learning to mathematical terms and formulas requires a suitable representation of formulas that is adequate for AI methods. In this paper, we develop an encoding t…
cs.LG2020
Improving Expressivity of Graph Neural Networks
Stanisław Purgał
We propose a Graph Neural Network with greater expressive power than commonly used GNNs - not constrained to only differentiate between graphs that Weisfeiler-Lehman test recognize…