104 citations · 104 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test
Arjun Subramonian, Adina Williams, Maximilian Nickel +2
The expressive power of graph neural networks is usually measured by comparing how many pairs of graphs or nodes an architecture can possibly distinguish as non-isomorphic to those…
stat.ML2017★ 104 cited
Perspective: Energy Landscapes for Machine Learning
Andrew J. Ballard, Ritankar Das, Stefano Martiniani +4
Machine learning techniques are being increasingly used as flexible non-linear fitting and prediction tools in the physical sciences. Fitting functions that exhibit multiple soluti…