Cover Image

Graph Neural Poisson Models for Supply Chain Relationship Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiang, Ling, Hu, Quan, Zhang, Xiang, Lan, Wei, Liu, Bin
Format:	Preprint
Published:	2025
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Confidence Scoring for LLM-Generated SQL in Supply Chain Data Extraction
by: Ma, Jiekai, et al.
Published: (2025)

Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions
by: Ling, Jiahe, et al.
Published: (2025)

LLMs for Supply Chain Management
by: Wang, Haojie, et al.
Published: (2025)

Coupled Supply and Demand Forecasting in Platform Accommodation Markets
by: Katz, Harrison
Published: (2026)

Nonparametric Safety Stock Dimensioning: A Data-Driven Approach for Supply Chains of Hardware OEMs
by: Agbenyega, Elvis, et al.
Published: (2025)

BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network
by: Liu, Yongzheng, et al.
Published: (2025)

A Dynamic Dirichlet Process Mixture Model for the Partisan Realignment of Civil Rights Issues in the U.S. House of Representatives
by: Xiang, Nuannuan, et al.
Published: (2025)

Protection of Guizhou Miao Batik Culture Based on Knowledge Graph and Deep Learning
by: Quan, Huafeng, et al.
Published: (2024)

SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
by: Wasi, Azmine Toushik, et al.
Published: (2024)

Dynamic Graph-Based Forecasts of Bookmakers' Odds in Professional Tennis
by: Penn, Matthew J, et al.
Published: (2025)

A Composite-Loss Graph Neural Network for the Multivariate Post-Processing of Ensemble Weather Forecasts
by: Lakatos, Mária
Published: (2025)

Anticipating Continued Global Fertility Decline via Neural Forecasting
by: Ciganda, Daniel, et al.
Published: (2026)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
by: Lin, Zhengzhi, et al.
Published: (2025)

Modulation Strategy and Extension for Hybrid Cascade H‐Bridge With Partial DC Power Supply Replacement With Capacitors
by: Jun Gu, et al.
Published: (2026)

Categorising the World into Local Climate Zones -- Towards Quantifying Labelling Uncertainty for Machine Learning Models
by: Hechinger, Katharina, et al.
Published: (2023)

Selecting and Testing Asset Pricing Models: A Stepwise Approach
by: Feng, Guanhao, et al.
Published: (2026)

Covariance Regression for High Dimensional Neural Data via Graph
by: Wei, Ganchao
Published: (2024)

Locally-Deployed Chain-of-Thought (CoT) Reasoning Model in Chemical Engineering: Starting from 30 Experimental Data
by: Zhou, Tianhang, et al.
Published: (2025)

Nonparametric Modeling of Diffusion MRI Signal in Q-space
by: Roy, Arkaprava, et al.
Published: (2023)

Rethinking Structural Equation Modeling in Political Science: Challenges, Best Practices, and Future Directions
by: Zheng, Bang Quan
Published: (2025)

Climatic interactions between cold surges in the South China Sea and North Pacific extratropical cyclones
by: Lan Xia, et al.
Published: (2024)

Poisson Inventory Models with Many Items: An Empirical Bayes Approach
by: Anderson, Edward, et al.
Published: (2025)

Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events
by: Gao, Chenyin, et al.
Published: (2025)

Designing Efficient Hybrid and Single-Arm Trials: External Control Borrowing and Sample Size Calculation
by: Gao, Yujing, et al.
Published: (2025)

Designing a Circular Economy Network for PPE Masks Supply Chain: A Case Study of British Columbia, Canada
by: Shah, Jainil Dharmil, et al.
Published: (2025)

Dual-Channel Technology Diffusion: Spatial Decay and Network Contagion in Supply Chain Networks
by: Kikuchi, Tatsuru
Published: (2025)

Mortality Modeling and Forecasting with the Actuaries Climate Index
by: Barigou, Karim, et al.
Published: (2025)

Improving Outbreak Forecasts Through Model Augmentation
by: Gibson, Graham C., et al.
Published: (2025)

Mortality Forecasting with Generalized Additive Mixed Models
by: Dastranj, Reza, et al.
Published: (2023)

A note on goodness of fit testing for the Poisson distribution
by: Khurodze, Erekle, et al.
Published: (2025)

Scaling-aware rating of Poisson-limited demand forecasts
by: Tichy, Malte C., et al.
Published: (2022)

Evolutionary Genomics Provides Insights Into Endangerment and Conservation of a Wild Apple Tree Species, Malus sieversii
by: Jian Zhang, et al.
Published: (2024)

E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
by: Panja, Madhurima, et al.
Published: (2024)

Reducing Differential Item Functioning via Process Data
by: Chen, Ling, et al.
Published: (2025)

A Heuristic Framework of Variable Neighborhood Descent Methods for the Large-Scale Multi-Level Facility Location Problem in Supply Chain Networks
by: Wang, Haibo, et al.
Published: (2025)

Spatial Modeling and Risk Zoning of Global Extreme Precipitation via Graph Neural Networks and r-Pareto Processes
by: Wang, Zimu, et al.
Published: (2025)

Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using Fused Brain Connection Graph
by: Wei, Lu, et al.
Published: (2024)

A Zero-Inflated Poisson Latent Position Cluster Model
by: Lu, Chaoyi, et al.
Published: (2025)

Poisson Cluster Process Models for Detecting Ultra-Diffuse Galaxies
by: Li, Dayi, et al.
Published: (2023)

How Does LLM Help Regional CPI Forecast: An LLM-powered Deep Panel Modeling Framework
by: Gao, Tianchen, et al.
Published: (2026)