Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization-Reference-Cited by-同舟云学术

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Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization

Published:2022-11 Issue:11 Volume:127 Page:
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:JGR Solid Earth

Author:

Zhang Xitong¹²,Reichard‐Flynn Will¹,Zhang Miao³^ORCID,Hirn Matthew²⁴⁵,Lin Youzuo¹^ORCID

Affiliation:

1. Geophysics Group Earth and Environmental Sciences Division Los Alamos National Laboratory Los Alamos NM USA

2. Department of Computational Mathematics, Science and Engineering Michigan State University East Lansing MI USA

3. Department of Earth and Environmental Sciences Dalhousie University Halifax NS Canada

4. Department of Mathematics Michigan State University East Lansing MI USA

5. Center for Quantum Computing, Science and Engineering Michigan State University East Lansing MI USA

Funder

Los Alamos National Laboratory

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022JB024401

Reference42 articles.

1. Machine learning for data-driven discovery in solid Earth geoscience

2. A comparison of earthquake backprojection imaging methods for dense local arrays

3. ObsPy: A Python Toolbox for Seismology

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1. Data‐Knowledge Driven Hybrid Deep Learning for Earthquake Early Warning;Earth and Space Science;2024-09

2. A seismic source characterization model of multi-station based on graph neural network;Journal of Earth System Science;2024-08-29

3. Deep Learning Forecasts Caldera Collapse Events at Kı̄lauea Volcano;Journal of Geophysical Research: Solid Earth;2024-08

4. Data-Driven Wildfire Spread Modeling of European Wildfires Using a Spatiotemporal Graph Neural Network;Fire;2024-06-19

5. Intensity Prediction Model Based on Machine Learning for Regional Earthquake Early Warning;IEEE Sensors Journal;2024-04-01

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