Masked graph neural network for rapid ground motion prediction in Italy
This study presents an updated version of TISER-GCN, a graph neural network (GCN) designed to predict maximum intensity measurements (IMs) from 10-second seismic waveforms starting at the earthquake origin time, without prior knowledge of location, distance, and magnitude. The improved model was ap...
| Published in: | Seismica |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
McGill University
2025-09-01
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| Subjects: | |
| Online Access: | https://seismica.library.mcgill.ca/article/view/1655 |