Papers

• Forecasting Ionospheric Irregularities on GNSS Lines of Sight Using Dynamic Graphs with Ephemeris Conditioning (2026)
  Mert Can Turkmen et al.
  1.78
• Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations (2026)
  Alejandro J. Gonz\'alez-Santana and Giovanny A. Cuervo-Londo\~no and Javier S\'anchez
  1.72
• An End-to-End Differentiable, Graph Neural Network-Embedded Pore Network Model for Permeability Prediction (2025)
  Qingqi Zhao and Heng Xiao
  1.39
• HEIMDALL: a grapH-based sEIsMic Detector And Locator for microseismicity (2025)
  Matteo Bagagli et al.
  1.28
• Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks (2020)
  Xiaowei Jia et al.
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• Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph (2021)
  Chen Cai et al.
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• A Graph Neural Network Framework for Grid-Based Simulation (2022)
  Haoyu Tang et al.
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• Minority Report: A Graph Network Oracle for In Situ Visualization (2022)
  Krishna Kumar et al.
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• Earthquake Phase Association with Graph Neural Networks (2022)
  Ian W. McBrearty et al.
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• Landslide Susceptibility Prediction Modeling Based on Self-Screening Deep Learning Model (2023)
  Li Zhu et al.
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• Graph Neural Network-based surrogate model for granular flows (2023)
  Yongjin Choi et al.
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• Graph Theory Applications in Advanced Geospatial Research (2023)
  Surajit Ghosh et al.
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• Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems (2023)
  Krishna Kumar and Yongjin Choi
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• Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks (2023)
  Jaehong Chung et al.
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• Graph Network Surrogate Model for Subsurface Flow Optimization (2023)
  Haoyu Tang and Louis J. Durlofsky
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• Inverse analysis of granular flows using differentiable graph neural network simulator (2024)
  Yongjin Choi et al.
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• Path Signatures and Graph Neural Networks for Slow Earthquake Analysis: Better Together? (2024)
  Hans Riess et al.
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• Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN) (2024)
  Mohammad J. Aljubran and Roland N. Horne
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• Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning (2024)
  Hongtao Wang et al.
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• Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction (2024)
  Giuseppe Costantino et al.
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• Double Difference Earthquake Location with Graph Neural Networks (2024)
  Ian W. McBrearty et al.
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• Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning (2024)
  Xiyu Pan et al.
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