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20222025
most citedEarthquake Phase Association with Graph Neural Networks

72 citations · 103 across the 5 of their papers we have counts for

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physics.geo-ph2022★ 72 cited

Earthquake Phase Association with Graph Neural Networks

Ian W. McBrearty, Gregory C. Beroza

Seismic phase association connects earthquake arrival time measurements to their causative sources. Effective association must determine the number of discrete events, their locati…

physics.geo-ph2022★ 29 cited

Earthquake Location and Magnitude Estimation with Graph Neural Networks

Ian W. McBrearty, Gregory C. Beroza

We solve the traditional problems of earthquake location and magnitude estimation through a supervised learning approach, where we train a Graph Neural Network to predict estimates…