Structural Interpretations of Protein Language Model Representations via Differentiable Graph Partitioning

ArXi:2605.10985v1 Announce Type: cross Protein language models such as ESM-2 learn rich residue representations that achieve strong performance on protein function prediction, but their features remain difficult to interpret as structural $\&$ evolutionary signals are encoded in dense latent spaces.