1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2025
Benchmarking Pretrained Molecular Embedding Models For Molecular Representation Learning
Mateusz Praski, Jakub Adamczyk, Wojciech Czech
Pretrained neural networks have attracted significant interest in chemistry and small molecule drug design. Embeddings from these models are widely used for molecular property pred…
q-bio.BM2025
Molecular Fingerprints Are Strong Models for Peptide Function Prediction
Jakub Adamczyk, Piotr Ludynia, Wojciech Czech
Understanding peptide properties is often assumed to require modeling long-range molecular interactions, motivating the use of complex graph neural networks and pretrained transfor…
cs.LG2024★ 1 cited
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
Jakub Adamczyk, Wojciech Czech
We revisit the effectiveness of topological descriptors for molecular graph classification and design a simple, yet strong baseline. We demonstrate that a simple approach to featur…