13 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.LG2025
PolyGraph Discrepancy: a classifier-based metric for graph generation
Markus Krimmel, Philip Hartout, Karsten Borgwardt +1
Existing methods for evaluating graph generative models primarily rely on Maximum Mean Discrepancy (MMD) metrics based on graph descriptors. While these metrics can rank generative…
q-bio.QM2024★ 13 cited
Endowing Protein Language Models with Structural Knowledge
Dexiong Chen, Philip Hartout, Paolo Pellizzoni +2
Understanding the relationships between protein sequence, structure and function is a long-standing biological challenge with manifold implications from drug design to our understa…