Cheby-KANs Dataset

These are the codes and models used in our experiments regarding our submitted article “Cheby-KANs:
Advanced Kolmogorov-Arnold Networks for Applying Geometric Deep Learning in Quantum Chemistry
Applications”. The code is developed using python programming language. In our paper we hae
developed the B-spline based KANs with a more powerful and much faster polynomials “shifted-
Chebyshev polynomials” of the first kind. Also, we integrated our new architecture with geometric deep
learning to predict quantum properties. This was done by modifying the famous Schnet model by using
our new model rather than the ordinary multi-layer-perceptrons. Attached are the files for the codes
and the pretrained models.