Spatio-temporal graph neural networks for predictive learning in urban computing: A survey
With recent advances in sensing technologies, a myriad of spatio-temporal data has been
generated and recorded in smart cities. Forecasting the evolution patterns of spatio-temporal …
generated and recorded in smart cities. Forecasting the evolution patterns of spatio-temporal …
Graph representation learning and its applications: a survey
Graphs are data structures that effectively represent relational data in the real world. Graph
representation learning is a significant task since it could facilitate various downstream …
representation learning is a significant task since it could facilitate various downstream …
An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring
Earthquake monitoring is vital for understanding the physics of earthquakes and assessing
seismic hazards. A standard monitoring workflow includes the interrelated and …
seismic hazards. A standard monitoring workflow includes the interrelated and …
Earthquake phase association with graph neural networks
IW McBrearty, GC Beroza - Bulletin of the Seismological …, 2023 - pubs.geoscienceworld.org
Seismic phase association connects earthquake arrival‐time measurements to their
causative sources. Effective association must determine the number of discrete events, their …
causative sources. Effective association must determine the number of discrete events, their …
Phase neural operator for multi‐station picking of seismic arrivals
Seismic wave arrival time measurements form the basis for numerous downstream
applications. State‐of‐the‐art approaches for phase picking use deep neural networks to …
applications. State‐of‐the‐art approaches for phase picking use deep neural networks to …
Seismology of rubble-pile asteroids in binary systems
The mutual gravitational interaction of binary asteroids, which make up approximately 15 per
cent of the near-Earth asteroid (NEA) population, provides a continuous tidal force, creating …
cent of the near-Earth asteroid (NEA) population, provides a continuous tidal force, creating …
Toward a consistent calculation of the lunar response to gravitational waves
H Yan, X Chen, J Zhang, F Zhang, M Wang, L Shao - Physical Review D, 2024 - APS
The recent increasing interest in detecting gravitational waves (GWs) by lunar seismic
measurement urges us to have a clear understanding of the response of the moon to …
measurement urges us to have a clear understanding of the response of the moon to …
Martian global current systems and related solar wind energy transfer: hybrid simulation under nominal conditions
The magnetized solar wind drives a current system around Mars that maintains its induced
magnetosphere. The solar wind also transfers its energy to the atmospheric ions, causing …
magnetosphere. The solar wind also transfers its energy to the atmospheric ions, causing …
DiTingMotion: A deep-learning first-motion-polarity classifier and its application to focal mechanism inversion
Accurate P-wave first-motion-polarity (FMP) information can contribute to solving earthquake
focal mechanisms, especially for small earthquakes, to which waveform-based methods are …
focal mechanisms, especially for small earthquakes, to which waveform-based methods are …
Solar wind interaction with Mars: electric field morphology and source terms
The correlation between space environment conditions and the properties of escaping ions
is a central topic of Mars research. Although empirical correlations have been visible in the …
is a central topic of Mars research. Although empirical correlations have been visible in the …