Imagen de Portada

ST-GraphNet: A Spatio-Temporal Graph Neural Network for Understanding and Predicting Automated Vehicle Crash Severity

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mimi, Mahmuda Sultana, Islam, Md Monzurul, Tusti, Anannya Ghosh, Somvanshi, Shriyank, Das, Subasish
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Applying MambaAttention, TabPFN, and TabTransformers to Classify SAE Automation Levels in Crashes
por: Somvanshi, Shriyank, et al.
Publicado: (2025)

Applying Tabular Deep Learning Models to Estimate Crash Injury Types of Young Motorcyclists
por: Somvanshi, Shriyank, et al.
Publicado: (2025)

Crash Severity Analysis of Child Bicyclists using Arm-Net and MambaNet
por: Somvanshi, Shriyank, et al.
Publicado: (2025)

Model Context Protocols in Adaptive Transport Systems: A Survey
por: Chhetri, Gaurab, et al.
Publicado: (2025)

Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models
por: Somvanshi, Shriyank, et al.
Publicado: (2025)

Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State- Space Architectures from S4 to Mamba
por: Somvanshi, Shriyank, et al.
Publicado: (2025)

A Survey on Kolmogorov-Arnold Network
por: Somvanshi, Shriyank, et al.
Publicado: (2024)

From Tiny Machine Learning to Tiny Deep Learning: A Survey
por: Somvanshi, Shriyank, et al.
Publicado: (2025)

From Maneuver to Mishap: A Systematic Literature Review on U-Turn Safety Risks
por: Javed, Syed Aaqib, et al.
Publicado: (2025)

Driving Education Advancements of Novice Drivers: A Systematic Literature Review
por: Tusti, Anannya Ghosh, et al.
Publicado: (2025)

Post-Quantum Cryptography and Quantum-Safe Security: A Comprehensive Survey
por: Chhetri, Gaurab, et al.
Publicado: (2025)

A Review on Influx of Bio-Inspired Algorithms: Critique and Improvement Needs
por: Somvanshi, Shriyank, et al.
Publicado: (2025)

A Survey on Deep Tabular Learning
por: Somvanshi, Shriyank, et al.
Publicado: (2024)

A Dimensionality-Reduced XAI Framework for Roundabout Crash Severity Insights
por: Chakraborty, Rohit, et al.
Publicado: (2025)

Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
por: Immordino, Gabriele, et al.
Publicado: (2024)

Comparative Analysis of Advanced AI-based Object Detection Models for Pavement Marking Quality Assessment during Daytime
por: Antariksa, Gian, et al.
Publicado: (2025)

GraphNet: A Large-Scale Computational Graph Dataset for Tensor Compiler Research
por: Li, Xinqi, et al.
Publicado: (2025)

Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems
por: Sharma, Vinay, et al.
Publicado: (2025)

Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems
por: Sharma, Vinay, et al.
Publicado: (2025)

Coupled-NeuralHP: Directional Temporal Coupling Between AI Innovation Exposure and Public Response
por: Rafe, Amir, et al.
Publicado: (2026)

Assessing the Role of Intersection Proximity in Pedestrian Crashes: Insights from Data Mining Approach
por: Hossain, Ahmed, et al.
Publicado: (2026)

Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation
por: Srinivas, Sakhinana Sagar, et al.
Publicado: (2024)

CaST: Causal Discovery via Spatio-Temporal Graphs in Disaster Tweets
por: Duong, Hieu, et al.
Publicado: (2026)

HyperSumm-RL: A Dialogue Summarization Framework for Modeling Leadership Perception in Social Robots
por: Das, Subasish
Publicado: (2025)

ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction
por: Liu, Zesheng, et al.
Publicado: (2025)

Comparability of Automated Vehicle Crash Databases
por: Goodall, Noah
Publicado: (2023)

ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
por: Topu, Mohsin Mahmud, et al.
Publicado: (2026)

ChaosNetBench: Benchmarking Spatio-Temporal Graph Neural Networks on Chaotic Lattice Dynamics
por: Moges, Henok Tenaw, et al.
Publicado: (2026)

Sequence decoding and analysis of the first reference mitogenome of globally threatened clown-knife fish, Chitala chitala: witness of codon usage bias and intense purifying selection.
por: Islam, Mohammad Nazrul, et al.
Publicado: (2026)

WISE: Web Information Satire and Fakeness Evaluation
por: Chhetri, Gaurab, et al.
Publicado: (2025)

SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharing
por: Chhetri, Gaurab, et al.
Publicado: (2025)

Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition
por: Shahgir, Haz Sameen, et al.
Publicado: (2024)

Spatio-Temporal Graph Unlearning
por: Guo, Qiming, et al.
Publicado: (2025)

Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
por: Yang, Sunwoong, et al.
Publicado: (2024)

Dynamic Encryption-Based Cloud Security Model using Facial Image and Password-based Key Generation for Multimedia Data
por: Ayesha, Naima Sultana, et al.
Publicado: (2025)

Heterogeneous Ordinal Structure Learning with Bayesian Nonparametric Complexity Discovery
por: Rafe, Amir, et al.
Publicado: (2026)

Community Driving-Safety Deterioration as a Push Factor for Public Endorsement of AI Driving Capability
por: Rafe, Amir, et al.
Publicado: (2026)

Socio-Conformal Calibration in Complex Survey Data: Marginal Validity Is Not Enough for Subgroup Reliability
por: Rafe, Amir, et al.
Publicado: (2026)

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
por: Ghaffari, Amirhossein, et al.
Publicado: (2025)

Spatio-Temporal Graph Neural Networks for Infant Language Acquisition Prediction
por: Roxburgh, Andrew, et al.
Publicado: (2025)