Copertina

Computation for Epidemic Prediction with Graph Neural Network by Model Combination

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kong, Xiangxin, Wang, Hang, Li, Yutong, Chen, Yanghao, Lu, Zudi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Simple and Effective Random Forest Modelling for Nonlinear Time Series Data
di: Zhang, Shihao, et al.
Pubblicazione: (2025)

Identifying Asymptomatic Nodes in Network Epidemics using Graph Neural Networks
di: Pinto, Conrado Catarcione, et al.
Pubblicazione: (2025)

Noise Matters: Optimizing Matching Noise for Diffusion Classifiers
di: Wang, Yanghao, et al.
Pubblicazione: (2025)

Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification
di: Wang, Yanghao, et al.
Pubblicazione: (2024)

A Review of Graph Neural Networks in Epidemic Modeling
di: Liu, Zewen, et al.
Pubblicazione: (2024)

Target-aware Image Editing via Cycle-consistent Constraints
di: Wang, Yanghao, et al.
Pubblicazione: (2025)

Stock Type Prediction Model Based on Hierarchical Graph Neural Network
di: Yao, Jianhua, et al.
Pubblicazione: (2024)

Exploring Cross-Modal Flows for Few-Shot Learning
di: Jiang, Ziqi, et al.
Pubblicazione: (2025)

Neural Posterior Estimation for Spatial Individual-Level Epidemic Models
di: Mao, Yicheng, et al.
Pubblicazione: (2026)

Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network
di: Yaqub, Muhammad, et al.
Pubblicazione: (2024)

Autoregressive Video Generation beyond Next Frames Prediction
di: Ren, Sucheng, et al.
Pubblicazione: (2025)

Graph Neural Networks for User Satisfaction Classification in Human-Computer Interaction
di: Liu, Rui, et al.
Pubblicazione: (2025)

GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model
di: Yang, Haotong, et al.
Pubblicazione: (2024)

GRNN:Recurrent Neural Network based on Ghost Features for Video Super-Resolution
di: Guo, Yutong
Pubblicazione: (2025)

On the Computational Capability of Graph Neural Networks: A Circuit Complexity Bound Perspective
di: Li, Xiaoyu, et al.
Pubblicazione: (2025)

Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting
di: Zheng, Yufan, et al.
Pubblicazione: (2024)

GNN101: Visual Learning of Graph Neural Networks in Your Web Browser
di: Lu, Yilin, et al.
Pubblicazione: (2024)

Integrating Single-Cell Foundation Models with Graph Neural Networks for Drug Response Prediction
di: Rossner, Till, et al.
Pubblicazione: (2025)

A Logic for Reasoning About Aggregate-Combine Graph Neural Networks
di: Nunn, Pierre, et al.
Pubblicazione: (2024)

Contrast-Source-Based Physics-Driven Neural Network for Inverse Scattering Problems
di: Du, Yutong, et al.
Pubblicazione: (2026)

DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks
di: Tan, Chee Wei, et al.
Pubblicazione: (2022)

Coarse-Guided Visual Generation via Weighted h-Transform Sampling
di: Wang, Yanghao, et al.
Pubblicazione: (2026)

Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction
di: Kaniselvan, Manasa, et al.
Pubblicazione: (2025)

Graph Neural Networks to Predict Coercivity of Hard Magnetic Microstructures
di: Moustafa, Heisam, et al.
Pubblicazione: (2025)

A Graph Neural Network for the Era of Large Atomistic Models
di: Zhang, Duo, et al.
Pubblicazione: (2025)

Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing
di: Rivera, Diego Machain, et al.
Pubblicazione: (2025)

DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
di: You, Zinuo, et al.
Pubblicazione: (2024)

GOReloc: Graph-based Object-Level Relocalization for Visual SLAM
di: Wang, Yutong, et al.
Pubblicazione: (2024)

SceneProp: Combining Neural Network and Markov Random Field for Scene-Graph Grounding
di: Otani, Keita, et al.
Pubblicazione: (2025)

Physics-Encoded Graph Neural Networks for Deformation Prediction under Contact
di: Saleh, Mahdi, et al.
Pubblicazione: (2024)

Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures
di: Jian, Xudong, et al.
Pubblicazione: (2024)

CNN‐Transformer Hybrid Network for Efficient Performance Prediction of Metasurfaces
di: Yutong Liang, et al.
Pubblicazione: (2026)

Event Detection from Social Media for Epidemic Prediction
di: Parekh, Tanmay, et al.
Pubblicazione: (2024)

Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing
di: Lu, Ruiying, et al.
Pubblicazione: (2022)

Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
di: Gao, Xiaowei, et al.
Pubblicazione: (2023)

Mfgnn: Multi‐Scale Feature‐Attentive Graph Neural Networks for Molecular Property Prediction
di: Weiting Ye, et al.
Pubblicazione: (2025)

Large Language Models are Universal Reasoners for Visual Generation
di: Ren, Sucheng, et al.
Pubblicazione: (2026)

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
di: Zhang, Zeyang, et al.
Pubblicazione: (2023)

Blockchain Epidemic Consensus for Large-Scale Networks
di: Abdi, Siamak, et al.
Pubblicazione: (2025)

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction
di: He, Yinhan, et al.
Pubblicazione: (2024)