Imagen de Portada

A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rico, Julian Carvajal, Alaeddini, Adel, Faruqui, Syed Hasib Akhter, Fisher-Hoch, Susan P, Mccormick, Joseph B
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin
por: Faruqui, Syed Hasib Akhter, et al.
Publicado: (2024)

Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'
por: Faruqui, Syed Hasib Akhter, et al.
Publicado: (2024)

Integrating Wide and Deep Neural Networks with Squeeze-and-Excitation Blocks for Multi-Target Property Prediction in Additively Manufactured Fiber Reinforced Composites
por: Parvaresh, Behzad, et al.
Publicado: (2025)

AgriPestDatabase-v1.0: A Structured Insect Dataset for Training Agricultural Large Language Model
por: Durak, Yagizhan Bilal, et al.
Publicado: (2026)

Exploring Variational Graph Autoencoders for Distribution Grid Data Generation
por: Abbas, Syed Zain, et al.
Publicado: (2025)

Kolmogorov-Arnold Networks-Based Tolerance-Aware Manufacturability Assessment Integrating Design-for-Manufacturing Principles
por: Deylami, Masoud, et al.
Publicado: (2026)

Operator-Theoretic Joint Estimation of Aging-Aware State of Charge and Control-Informed State of Health
por: Adesunkanmi, Rahmat K., et al.
Publicado: (2025)

The larger moths of Dawlish Warren, Devon
por: Mccormick, R F
Publicado: (1995)

Evaluación de la composición corporal y la capacidad aerobia de una muestra de estudiantes universitarios de Bucaramanga en el 2005
por: German Melo Mccormick
Publicado: (2007)

Generalized Graph Transformer Variational Autoencoder
por: Karki, Siddhant
Publicado: (2025)

Emotion Detection in Reddit: Comparative Study of Machine Learning and Deep Learning Techniques
por: Alaeddini, Maliheh
Publicado: (2024)

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
por: Rao, Xuan, et al.
Publicado: (2022)

A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs
por: Yang, Sikun, et al.
Publicado: (2023)

Reliable and Efficient Multi-Agent Coordination via Graph Neural Network Variational Autoencoders
por: Meng, Yue, et al.
Publicado: (2025)

Influence Maximization via Graph Neural Bandits
por: Feng, Yuting, et al.
Publicado: (2024)

The Impact of Loss Functions and Scene Representations for 3D/2D Registration on Single-view Fluoroscopic X-ray Pose Estimation
por: Zhou, Chaochao, et al.
Publicado: (2023)

AutoGraphAD: Unsupervised network anomaly detection using Variational Graph Autoencoders
por: Anyfantis, Georgios, et al.
Publicado: (2025)

To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders
por: Salha-Galvan, Guillaume, et al.
Publicado: (2025)

Conformal Load Prediction with Transductive Graph Autoencoders
por: Luo, Rui, et al.
Publicado: (2024)

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
por: Hong, Zhi, et al.
Publicado: (2026)

Graph Variate Neural Networks
por: Roy, Om, et al.
Publicado: (2025)

Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings
por: Liu, Zongge, et al.
Publicado: (2024)

Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
por: Dang, Hien, et al.
Publicado: (2023)

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes
por: Zhao, Yige, et al.
Publicado: (2023)

GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance
por: Bresson, Roman, et al.
Publicado: (2026)

IVGAE: Handling Incomplete Heterogeneous Data with a Variational Graph Autoencoder
por: Zhou, Youran, et al.
Publicado: (2025)

Conditional Shift-Robust Conformal Prediction for Graph Neural Network
por: Akansha, S.
Publicado: (2024)

Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework
por: Ahang, Maryam, et al.
Publicado: (2024)

Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks
por: Alsafadi, Farah, et al.
Publicado: (2024)

Black Hole Spectroscopy with Conditional Variational Autoencoder
por: Mishra, Akash K
Publicado: (2025)

Conditional Variational Autoencoders for Probabilistic Pose Regression
por: Zangeneh, Fereidoon, et al.
Publicado: (2024)

Variational Quantum Optimization with Continuous Bandits
por: Wanner, Marc, et al.
Publicado: (2025)

UGMAE: A Unified Framework for Graph Masked Autoencoders
por: Tian, Yijun, et al.
Publicado: (2024)

Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes
por: Nguyen, Kien X., et al.
Publicado: (2026)

Variational Graph Convolutional Neural Networks
por: Oleksiienko, Illia, et al.
Publicado: (2025)

Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders
por: Mishra, Aditya, et al.
Publicado: (2025)

Conditional Graph Neural Network for Predicting Soft Tissue Deformation and Forces
por: Kojanazarova, Madina, et al.
Publicado: (2025)

BikeVAE-GNN: A Variational Autoencoder-Augmented Hybrid Graph Neural Network for Sparse Bicycle Volume Estimation
por: Gupta, Mohit, et al.
Publicado: (2025)

Leveraging Compact Satellite Embeddings and Graph Neural Networks for Large-Scale Poverty Mapping
por: Pettersson, Markus B., et al.
Publicado: (2025)

Conditional Electrocardiogram Generation Using Hierarchical Variational Autoencoders
por: Sviridov, Ivan, et al.
Publicado: (2025)