Research graph
References from MarineGuard-GNN: A Physics-Informed Multimodal Heterogeneous Graph Neural Network for Submarine Cable Fault Risk Assessment Under Geographic Shift. Local targets link to admitted publications; unresolved targets remain external evidence.
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Submarine landslide susceptibility assessment integrating frequency ratio with supervised machine learning approach
10.1016/j.apor.2024.104237 · 2024 · External reference
10.3390/app13052995
10.3390/app13052995 · External reference
10.5194/egusphere-egu24-18680
10.5194/egusphere-egu24-18680 · External reference
10.3390/en16176172
10.3390/en16176172 · External reference
Graph neural networks for power grid operational risk assessment under evolving unit commitment
10.1016/j.apenergy.2024.124793 · 2025 · External reference
10.1145/3580305.3599804
10.1145/3580305.3599804 · External reference
Interpretable physics-informed graph neural networks for flood forecasting
10.1111/mice.13484 · 2025 · External reference
10.1145/3748636.3764172
10.1145/3748636.3764172 · External reference
A note on two problems in connexion with graphs
10.1007/bf01386390 · 1959 · External reference
Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways
10.1109/tits.2023.3285415 · 2023 · External reference
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SatMAE: Pre-training transformers for temporal and multi-spectral satellite imagery
10.52202/068431-0015 · 2022 · External reference
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Mapping undersea cable risk from bathymetry to geopolitics: Evidence-based rankings and tailored resilience strategies
10.1016/j.marpol.2025.107012 · 2026 · External reference
10.3390/rs16224205
10.3390/rs16224205 · External reference
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Inductive representation learning on large graphs
2017 · External reference
Deep transformer-based heterogeneous spatiotemporal graph learning for geographical traffic forecasting
10.1016/j.isci.2024.110175 · 2024 · External reference
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
10.1016/j.jcp.2018.10.045 · 2019 · External reference
Physics-informed machine learning
10.1038/s42254-021-00314-5 · 2021 · External reference
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Physics-informed graph neural network for 3D spatiotemporal structural response modeling of flexible pavements
10.1016/j.engappai.2025.112391 · 2025 · External reference
10.3390/books978-3-0365-9787-4
10.3390/books978-3-0365-9787-4 · External reference
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Simple and scalable predictive uncertainty estimation using deep ensembles
2017 · External reference
10.1109/cvpr52733.2024.02627
10.1109/cvpr52733.2024.02627 · External reference
10.1109/ijcnn64981.2025.11228006
10.1109/ijcnn64981.2025.11228006 · External reference
Spatiotemporal fusion network based on improved transformer for inverting subsurface thermohaline structure
10.1109/tgrs.2024.3446805 · 2024 · External reference
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10.1109/iccv.2017.324
10.1109/iccv.2017.324 · External reference
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10.5194/egusphere-egu21-14961
10.5194/egusphere-egu21-14961 · External reference
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Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s
10.1193/1.2830434 · 2008 · External reference
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Unresolved reference
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Unresolved reference
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A note on two problems in connexion with graphs
10.1007/bf01386390 · ExternalCitation · doi-reference
Graph neural networks for power grid operational risk assessment under evolving unit commitment
10.1016/j.apenergy.2024.124793 · ExternalCitation · doi-reference
Submarine landslide susceptibility assessment integrating frequency ratio with supervised machine learning approach
10.1016/j.apor.2024.104237 · ExternalCitation · doi-reference
Physics-informed graph neural network for 3D spatiotemporal structural response modeling of flexible pavements
10.1016/j.engappai.2025.112391 · ExternalCitation · doi-reference
Deep transformer-based heterogeneous spatiotemporal graph learning for geographical traffic forecasting
10.1016/j.isci.2024.110175 · ExternalCitation · doi-reference
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
10.1016/j.jcp.2018.10.045 · ExternalCitation · doi-reference
Mapping undersea cable risk from bathymetry to geopolitics: Evidence-based rankings and tailored resilience strategies
10.1016/j.marpol.2025.107012 · ExternalCitation · doi-reference
Physics-informed machine learning
10.1038/s42254-021-00314-5 · ExternalCitation · doi-reference
10.1109/cvpr52733.2024.02627
10.1109/cvpr52733.2024.02627 · ExternalCitation · doi-reference
10.1109/iccv.2017.324
10.1109/iccv.2017.324 · ExternalCitation · doi-reference
10.1109/ijcnn64981.2025.11228006
10.1109/ijcnn64981.2025.11228006 · ExternalCitation · doi-reference
Spatiotemporal fusion network based on improved transformer for inverting subsurface thermohaline structure
10.1109/tgrs.2024.3446805 · ExternalCitation · doi-reference
Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways
10.1109/tits.2023.3285415 · ExternalCitation · doi-reference
Interpretable physics-informed graph neural networks for flood forecasting
10.1111/mice.13484 · ExternalCitation · doi-reference
10.1145/3580305.3599804
10.1145/3580305.3599804 · ExternalCitation · doi-reference
10.1145/3748636.3764172
10.1145/3748636.3764172 · ExternalCitation · doi-reference
Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s
10.1193/1.2830434 · ExternalCitation · doi-reference
10.3390/app13052995
10.3390/app13052995 · ExternalCitation · doi-reference
10.3390/books978-3-0365-9787-4
10.3390/books978-3-0365-9787-4 · ExternalCitation · doi-reference
10.3390/en16176172
10.3390/en16176172 · ExternalCitation · doi-reference
10.3390/rs16224205
10.3390/rs16224205 · ExternalCitation · doi-reference
10.5194/egusphere-egu21-14961
10.5194/egusphere-egu21-14961 · ExternalCitation · doi-reference
10.5194/egusphere-egu24-18680
10.5194/egusphere-egu24-18680 · ExternalCitation · doi-reference
SatMAE: Pre-training transformers for temporal and multi-spectral satellite imagery
10.52202/068431-0015 · ExternalCitation · doi-reference
