Integrative Learning of Dynamically Evolving Multiplex Graphs and Nodal Attributes Using Neural Network Gaussian Processes with an Application to Dynamic Terrorism Graphs
Fuente:
arXiv
Guardado en:
| Autores principales: | Rodriguez-Acosta, Jose, Guha, Sharmistha, Patel, Lekha, Shuler, Kurtis |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Integrative Predictor-Dependent Learning of Network Data and Spatially Correlated Nodal Attributes for Multimodal Brain Imaging in Aging
por: Rodriguez-Acosta, Jose, et al.
Publicado: (2026)
por: Rodriguez-Acosta, Jose, et al.
Publicado: (2026)
Multiview Graph Fusion with Covariates
por: Guha, Sharmistha, et al.
Publicado: (2026)
por: Guha, Sharmistha, et al.
Publicado: (2026)
Elastic Bayesian Model Calibration
por: Francom, Devin, et al.
Publicado: (2023)
por: Francom, Devin, et al.
Publicado: (2023)
The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
por: Hong, Anni, et al.
Publicado: (2024)
por: Hong, Anni, et al.
Publicado: (2024)
Joint Modeling of Two Stochastic Processes, with Application to Learning Hospitalization Dynamics from Wastewater Viral Concentrations
por: Peng, K. Ken, et al.
Publicado: (2026)
por: Peng, K. Ken, et al.
Publicado: (2026)
A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience
por: Fan, Yefeng, et al.
Publicado: (2025)
por: Fan, Yefeng, et al.
Publicado: (2025)
Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories
por: Cai, Jiachen, et al.
Publicado: (2023)
por: Cai, Jiachen, et al.
Publicado: (2023)
Cross-Lingual Sponsored Search via Dual-Encoder and Graph Neural Networks for Context-Aware Query Translation in Advertising Platforms
por: Gao, Ziyang, et al.
Publicado: (2025)
por: Gao, Ziyang, et al.
Publicado: (2025)
Modeling Event Dynamics by Self-Exciting Processes with Random Memory
por: Peng, K. Ken, et al.
Publicado: (2026)
por: Peng, K. Ken, et al.
Publicado: (2026)
Feature Selection in High-dimensional Spaces Using Graph-Based Methods
por: Ghosh, Swarnadip, et al.
Publicado: (2021)
por: Ghosh, Swarnadip, et al.
Publicado: (2021)
Gaussian Process with dissolution spline kernel
por: Murphy, Fiona, et al.
Publicado: (2024)
por: Murphy, Fiona, et al.
Publicado: (2024)
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
por: Ma, Guoxuan, et al.
Publicado: (2023)
por: Ma, Guoxuan, et al.
Publicado: (2023)
Mixtures of Neural Network Experts with Application to Phytoplankton Flow Cytometry Data
por: Pawl, Ethan, et al.
Publicado: (2025)
por: Pawl, Ethan, et al.
Publicado: (2025)
E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
por: Panja, Madhurima, et al.
Publicado: (2024)
por: Panja, Madhurima, et al.
Publicado: (2024)
A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
por: Gosnell, Arron, et al.
Publicado: (2024)
por: Gosnell, Arron, et al.
Publicado: (2024)
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
por: Chen, Yunxiao
Publicado: (2019)
por: Chen, Yunxiao
Publicado: (2019)
Empirical Bayes Shrinkage of Functional Effects, with Application to Analysis of Dynamic eQTLs
por: Zhang, Ziang, et al.
Publicado: (2026)
por: Zhang, Ziang, et al.
Publicado: (2026)
Heterogeneous Clinical Trial Outcomes via Multi-Output Gaussian Processes
por: Thomas, Owen, et al.
Publicado: (2024)
por: Thomas, Owen, et al.
Publicado: (2024)
Dynamic Risk-Adjusted Monitoring of Time Between Events: Applications of NHPP in Pipeline Accident Surveillance
por: Ahmad, Hussam, et al.
Publicado: (2025)
por: Ahmad, Hussam, et al.
Publicado: (2025)
Exchangeable Gaussian Processes with application to epidemics
por: Bouranis, Lampros, et al.
Publicado: (2025)
por: Bouranis, Lampros, et al.
Publicado: (2025)
Dynamic Reconfiguration of Brain Functional Network in Stroke
por: Wu, Kaichao, et al.
Publicado: (2023)
por: Wu, Kaichao, et al.
Publicado: (2023)
Graph-constrained Analysis for Multivariate Functional Data
por: Dey, Debangan, et al.
Publicado: (2022)
por: Dey, Debangan, et al.
Publicado: (2022)
Hurdle Network Model With Latent Dynamic Shrinkage For Enhanced Edge Prediction in Zero-Inflated Directed Network Time Series
por: Pramanik, Sandipan, et al.
Publicado: (2025)
por: Pramanik, Sandipan, et al.
Publicado: (2025)
Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting
por: Iong, Daniel, et al.
Publicado: (2024)
por: Iong, Daniel, et al.
Publicado: (2024)
Joint Modelling of Line and Point Data on Metric Graphs
por: Lilleborge, Karina, et al.
Publicado: (2025)
por: Lilleborge, Karina, et al.
Publicado: (2025)
Community Correlations and Testing Independence Between Binary Graphs
por: Shen, Cencheng, et al.
Publicado: (2019)
por: Shen, Cencheng, et al.
Publicado: (2019)
Simultaneous global and local clustering in multiplex networks with covariate information
por: Corneck, Joshua, et al.
Publicado: (2025)
por: Corneck, Joshua, et al.
Publicado: (2025)
Quasi-Maximum Likelihood Estimation for a Genuinely Unbalanced Dynamic Network Panel Data Model
por: Wang, Zhijian, et al.
Publicado: (2025)
por: Wang, Zhijian, et al.
Publicado: (2025)
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
por: Guo, Xingche, et al.
Publicado: (2024)
por: Guo, Xingche, et al.
Publicado: (2024)
Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
por: Vega, Sofia L., et al.
Publicado: (2025)
por: Vega, Sofia L., et al.
Publicado: (2025)
Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
por: Menacher, Anna, et al.
Publicado: (2024)
por: Menacher, Anna, et al.
Publicado: (2024)
A Dynamic Latent Space Model for Healthcare Mobility Networks: the Italian National Health Service case
por: Manente, Cecilia, et al.
Publicado: (2026)
por: Manente, Cecilia, et al.
Publicado: (2026)
Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
por: Geng, Jialiang, et al.
Publicado: (2025)
por: Geng, Jialiang, et al.
Publicado: (2025)
Graph-Based Spatial Segmentation of Health-Related Areal Data
por: Goepp, Vivien, et al.
Publicado: (2022)
por: Goepp, Vivien, et al.
Publicado: (2022)
Attractor-Based Coevolving Dot Product Random Graph Model
por: Yang, Shiwen, et al.
Publicado: (2025)
por: Yang, Shiwen, et al.
Publicado: (2025)
Scaleable Dynamic Forecast Reconciliation
por: Hollyman, Ross, et al.
Publicado: (2024)
por: Hollyman, Ross, et al.
Publicado: (2024)
Spatial Deep Convolutional Neural Networks
por: Wang, Qi, et al.
Publicado: (2024)
por: Wang, Qi, et al.
Publicado: (2024)
Network Dynamics and Spatial Shifts in Civilian Targeting: A Stochastic Block Model Analysis of the Colombian Armed Conflict
por: Perdomo-Londoño, Natalia, et al.
Publicado: (2025)
por: Perdomo-Londoño, Natalia, et al.
Publicado: (2025)
Extension of Dynamic Network Biomarker using the propensity score method: Simulation of causal effects on variance and correlation coefficient
por: Shinoda, Satoru, et al.
Publicado: (2025)
por: Shinoda, Satoru, et al.
Publicado: (2025)
Adaptive Designs in Fast-Track Registration Processes for Digital Health Applications
por: Kluge, Liane, et al.
Publicado: (2025)
por: Kluge, Liane, et al.
Publicado: (2025)
Ejemplares similares
-
Integrative Predictor-Dependent Learning of Network Data and Spatially Correlated Nodal Attributes for Multimodal Brain Imaging in Aging
por: Rodriguez-Acosta, Jose, et al.
Publicado: (2026) -
Multiview Graph Fusion with Covariates
por: Guha, Sharmistha, et al.
Publicado: (2026) -
Elastic Bayesian Model Calibration
por: Francom, Devin, et al.
Publicado: (2023) -
The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
por: Hong, Anni, et al.
Publicado: (2024) -
Joint Modeling of Two Stochastic Processes, with Application to Learning Hospitalization Dynamics from Wastewater Viral Concentrations
por: Peng, K. Ken, et al.
Publicado: (2026)