15 citations · 46 across the 11 of their papers we have counts for
6 papers · 1 filter
Geometry-Complete Perceptron Networks for 3D Molecular Graphs
Alex Morehead, Jianlin Cheng
The field of geometric deep learning has had a profound impact on the development of innovative and powerful graph neural network architectures. Disciplines such as computer vision…
DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning
Elham Soltanikazemi, Raj S. Roy, Farhan Quadir +3
Predicted inter-chain residue-residue contacts can be used to build the quaternary structure of protein complexes from scratch. However, only a small number of methods have been de…
EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures
Alex Morehead, Xiao Chen, Tianqi Wu +2
Protein complexes are macromolecules essential to the functioning and well-being of all living organisms. As the structure of a protein complex, in particular its region of interac…
DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment
Xiao Chen, Alex Morehead, Jian Liu +1
Proteins interact to form complexes to carry out essential biological functions. Computational methods have been developed to predict the structures of protein complexes. However,…
A Region-Based Deep Learning Approach to Automated Retail Checkout
Maged Shoman, Armstrong Aboah, Alex Morehead +3
Automating the product checkout process at conventional retail stores is a task poised to have large impacts on society generally speaking. Towards this end, reliable deep learning…
Semi-Supervised Graph Learning Meets Dimensionality Reduction
Alex Morehead, Watchanan Chantapakul, Jianlin Cheng
Semi-supervised learning (SSL) has recently received increased attention from machine learning researchers. By enabling effective propagation of known labels in graph-based deep le…