Copertina

Truck Parking Usage Prediction with Decomposed Graph Neural Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tamaru, Rei, Cheng, Yang, Parker, Steven, Perry, Ernie, Ran, Bin, Ahn, Soyoung
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information
di: Tamaru, Rei, et al.
Pubblicazione: (2024)

Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection
di: Tamaru, Rei, et al.
Pubblicazione: (2025)

Behavior-Grounded Lane Representation Learning for Multi-Task Traffic Digital Twins
di: Tamaru, Rei, et al.
Pubblicazione: (2026)

FnRGNN: Distribution-aware Fairness in Graph Neural Network
di: Park, Soyoung, et al.
Pubblicazione: (2025)

Quantile-Free Uncertainty Quantification in Graph Neural Networks
di: park, Soyoung, et al.
Pubblicazione: (2026)

CrossTraffic: An Open-Source Framework for Reproducible and Executable Transportation Analysis and Knowledge Management
di: Tamaru, Rei, et al.
Pubblicazione: (2026)

NPC: Neural Predictive Control for Fuel-Efficient Autonomous Trucks
di: Ren, Jiaping, et al.
Pubblicazione: (2024)

Refined Edge Usage of Graph Neural Networks for Edge Prediction
di: Jin, Jiarui, et al.
Pubblicazione: (2022)

Conformalized Link Prediction on Graph Neural Networks
di: Zhao, Tianyi, et al.
Pubblicazione: (2024)

Efficient Large-Scale Urban Parking Prediction: Graph Coarsening Based on Real-Time Parking Service Capability
di: Wang, Yixuan, et al.
Pubblicazione: (2024)

Residual Reweighted Conformal Prediction for Graph Neural Networks
di: Zhang, Zheng, et al.
Pubblicazione: (2025)

Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Network
di: Cheng, Bin, et al.
Pubblicazione: (2024)

Graph Neural Networks Use Graphs When They Shouldn't
di: Bechler-Speicher, Maya, et al.
Pubblicazione: (2023)

Poisoning the Inner Prediction Logic of Graph Neural Networks for Clean-Label Backdoor Attacks
di: Zhang, Yuxiang, et al.
Pubblicazione: (2026)

The Interpretable and Effective Graph Neural Additive Networks
di: Bechler-Speicher, Maya, et al.
Pubblicazione: (2024)

From Priors to Predictions: Explaining and Visualizing Human Reasoning in a Graph Neural Network Framework
di: Do, Quan, et al.
Pubblicazione: (2025)

Boolean Product Graph Neural Networks
di: Wang, Ziyan, et al.
Pubblicazione: (2024)

Reinforcement Learning with Curriculum-inspired Adaptive Direct Policy Guidance for Truck Dispatching
di: Meng, Shi, et al.
Pubblicazione: (2025)

Explainable Global Wildfire Prediction Models using Graph Neural Networks
di: Chen, Dayou, et al.
Pubblicazione: (2024)

Systematic Relational Reasoning With Epistemic Graph Neural Networks
di: Khalid, Irtaza, et al.
Pubblicazione: (2024)

TREE-G: Decision Trees Contesting Graph Neural Networks
di: Bechler-Speicher, Maya, et al.
Pubblicazione: (2022)

Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
di: Davila, Randy, et al.
Pubblicazione: (2025)

AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization
di: Chen, Yang, et al.
Pubblicazione: (2024)

A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction
di: Liu, Zhipeng, et al.
Pubblicazione: (2025)

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction
di: Wen, Zhihao, et al.
Pubblicazione: (2024)

On the Utilization of Unique Node Identifiers in Graph Neural Networks
di: Bechler-Speicher, Maya, et al.
Pubblicazione: (2024)

Graph Neural Network for Cerebral Blood Flow Prediction With Clinical Datasets
di: Kim, Seungyeon, et al.
Pubblicazione: (2024)

Causal Graph Neural Networks for Wildfire Danger Prediction
di: Zhao, Shan, et al.
Pubblicazione: (2024)

V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors
di: Wu, Keshu, et al.
Pubblicazione: (2025)

Decomposing and Editing Predictions by Modeling Model Computation
di: Shah, Harshay, et al.
Pubblicazione: (2024)

Goal-based Neural Physics Vehicle Trajectory Prediction Model
di: Gan, Rui, et al.
Pubblicazione: (2024)

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks
di: Wang, Zepu, et al.
Pubblicazione: (2024)

Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
di: Lischka, Attila, et al.
Pubblicazione: (2025)

Minimum Topology Attacks for Graph Neural Networks
di: Zhang, Mengmei, et al.
Pubblicazione: (2024)

Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks
di: Ojha, Ritesh, et al.
Pubblicazione: (2023)

MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
di: Wu, Mei, et al.
Pubblicazione: (2025)

Crystal Fractional Graph Neural Network for Energy Prediction of High-Entropy Alloys
di: Kotama, Takanori, et al.
Pubblicazione: (2026)

Towards Scalable and Deep Graph Neural Networks via Noise Masking
di: Liang, Yuxuan, et al.
Pubblicazione: (2024)

Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph
di: Boll, Heloisa Oss, et al.
Pubblicazione: (2024)

Knowledge Graph Augmented Large Language Models for Disease Prediction
di: Wang, Ruiyu, et al.
Pubblicazione: (2025)