Parallel and Scalable Heat Methods for Geodesic Distance Computation

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Parallel and Scalable Heat Methods for Geodesic Distance Computation

14 December 2018

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Papers citing "Parallel and Scalable Heat Methods for Geodesic Distance Computation"

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Title
Learning the Geodesic Embedding with Graph Neural Networks Bo Pang Zhongtian Zheng Guoping Wang Peng-Shuai Wang GNN 58 7 0 11 Sep 2023
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries Qijian Zhang Junhui Hou Y. Adikusuma Wenping Wang Ying He 79 4 0 01 Jun 2023
GeodesicEmbedding (GE): A High-Dimensional Embedding Approach for Fast Geodesic Distance Queries Qianwei Xia Juyong Zhang Zheng Fang Jin Li Mingyue Zhang Bailin Deng Ying He 41 5 0 31 Aug 2021
Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting W. Ouyang Yue Peng Yuxin Yao Juyong Zhang Bailin Deng 103 33 0 25 Jun 2020
Accelerating ADMM for Efficient Simulation and Optimization Juyong Zhang Yue Peng W. Ouyang Bailin Deng 52 55 0 01 Sep 2019