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Abstract: Topological maps are a common framework for enabling autonomous robotic navigation. To be effective for robotic exploration the maps must be able to be generated quickly and compact enough ...
Abstract: In 3D data analysis, point clouds provide detailed geometric insights for applications like computer vision and geospatial analysis. However, their irregularity and diversity make ...
This repository contains the PyTorch implementation of the paper "Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism", R.Subedi, L.Wei, W.Gao, S.Chakraborty., Y.Liu.
This is the official implementation of "GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks" published at ICLR 2025. GotenNet introduces a novel framework for modeling 3D molecular ...
Cardiac myxoma (CM), a rare primary cardiac tumor, poses significant life-threatening risks. Current CM research has remained largely limited to clinical case observations and pathological analyses, ...
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