Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization.

Zhang X, Reichard-Flynn W, Zhang M, Hirn M, Lin Y

DOI: 10.1029/2022jb024401
Published: 2022 Nov
Container: Journal of geophysical research. Solid earth
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1029/2022jb024401,
  title = {Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization.},
  author = {Zhang X and Reichard-Flynn W and Zhang M and Hirn M and Lin Y},
  year = {2022},
  journal = {Journal of geophysical research. Solid earth},
  doi = {10.1029/2022jb024401},
  url = {https://doi.org/10.1029/2022jb024401}
}

RIS

TY  - JOUR
TI  - Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization.
AU  - Zhang X
AU  - Reichard-Flynn W
AU  - Zhang M
AU  - Hirn M
AU  - Lin Y
PY  - 2022
JO  - Journal of geophysical research. Solid earth
DO  - 10.1029/2022jb024401
UR  - https://doi.org/10.1029/2022jb024401
ER  -

APA

X, Z., W, R., M, Z., M, H., & Y, L. (2022). Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization.. Journal of geophysical research. Solid earth. https://doi.org/10.1029/2022jb024401

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pubmed · retrieved 2026-09-25T17:39:33.315Z