IEEE

Ofp2seg: 3D Medical Segmentation by a Mask Guide to Enhanced Bi-Directional Optical Flow Propagation

Abstract: Efficient medical segmentation can be independent of time-consuming and expensive labels. In this study, we propose a novel self-supervised algorithm that aims to segment arbitrary ...
C&EN

SHARP: Generating Synthesizable Molecules via Fragment-Based Hierarchical Action-Space Reinforcement Learning for Pareto Optimization

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...