6 citations · 16 across the 8 of their papers we have counts for
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cs.LG2022
Learnable Filters for Geometric Scattering Modules
Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar +5
We propose a new graph neural network (GNN) module, based on relaxations of recently proposed geometric scattering transforms, which consist of a cascade of graph wavelet filters.…
cs.LG2022★ 6 cited
ReLSO: A Transformer-based Model for Latent Space Optimization and Generation of Proteins
Egbert Castro, Abhinav Godavarthi, Julian Rubinfien +3
The development of powerful natural language models have increased the ability to learn meaningful representations of protein sequences. In addition, advances in high-throughput mu…