R3J-AGNN is a geometry-aware deep learning framework for predicting inter-branch angular configurations of RNA three-way junctions (3WJ) directly from RNA secondary structure information. Unlike ...
Researchers from Microsoft attempt to solve the challenge faced in predicting molecular properties and simulating molecular dynamics by presenting a method, ViSNet, that results in more accurate ...
This code extracts the dependency graph of a glider from two canonical configurations and reconstructs the original geometry from the abstract dependency graph. Also included is code for using the ...
Abstract: This paper describes a graph-based coding scheme for light fields (LF). It first adapts graph-based representations (GBR) to describe color and geometry information of LF. Graph connections ...
Abstract: In this paper, we explore an open research problem concerning the reconstruction of 3D scenes from images. Recent methods have adopt 3D Gaussian Splatting (3DGS) to produce 3D scenes due to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results