Copertina

Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Shuhao, Cui, Yue, Xu, Jingyi, Li, Libin, Meng, Lingkai, Yang, Weidong, Zhang, Fan, Zhou, Xiaofang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Fine-Grained Traffic Inference from Road to Lane via Spatio-Temporal Graph Node Generation
di: Li, Shuhao, et al.
Pubblicazione: (2025)

STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
di: Luo, Xunlian, et al.
Pubblicazione: (2023)

GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization
di: Wang, Juntong, et al.
Pubblicazione: (2026)

A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction
di: Zhanbo, Sun, et al.
Pubblicazione: (2024)

IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
di: Olug, Eren, et al.
Pubblicazione: (2024)

Semantic Correspondence: Unified Benchmarking and a Strong Baseline
di: Zhang, Kaiyan, et al.
Pubblicazione: (2025)

Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation
di: Yousefzadeh, Nooshin, et al.
Pubblicazione: (2024)

UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark
di: Zhou, Zhaokun, et al.
Pubblicazione: (2024)

Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
di: Zhang, Zhiwei, et al.
Pubblicazione: (2024)

A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
di: Yuan, Xujie, et al.
Pubblicazione: (2025)

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks
di: Li, Haoyang, et al.
Pubblicazione: (2025)

SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMs
di: Li, Jiawei, et al.
Pubblicazione: (2026)

TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction
di: Zhou, Min, et al.
Pubblicazione: (2022)

IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
di: Xu, Jingyi, et al.
Pubblicazione: (2024)

Fine-Grained Representation for Lane Topology Reasoning
di: Xu, Guoqing, et al.
Pubblicazione: (2025)

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

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
di: Li, Haiyang, et al.
Pubblicazione: (2025)

Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
di: Kamarthi, Harshavardhan, et al.
Pubblicazione: (2024)

Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach
di: Bian, Zilin, et al.
Pubblicazione: (2024)

STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting
di: Liang, Zhuding, et al.
Pubblicazione: (2025)

Zero-Shot Cellular Trajectory Map Matching
di: Shi, Weijie, et al.
Pubblicazione: (2025)

A Bargaining-based Approach for Feature Trading in Vertical Federated Learning
di: Cui, Yue, et al.
Pubblicazione: (2024)

A Lane Usage Strategy for General Traffic Access on Bus Lanes under Mixed Traffic Environment
di: Li, Haoran, et al.
Pubblicazione: (2024)

A Unified Perspective for Learning Graph Representations Across Multi-Level Abstractions
di: Amar, Mohamed Mahmoud, et al.
Pubblicazione: (2026)

Multi-Level Fusion Graph Neural Network for Molecule Property Prediction
di: Liu, XiaYu, et al.
Pubblicazione: (2025)

Unifying Structured Data as Graph for Data-to-Text Pre-Training
di: Li, Shujie, et al.
Pubblicazione: (2024)

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation
di: Liu, Xinyi, et al.
Pubblicazione: (2025)

Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective
di: Wang, Haichuan, et al.
Pubblicazione: (2026)

Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective
di: Zhang, Yi-Ge, et al.
Pubblicazione: (2025)

IceBench-S2S: A Benchmark of Deep Learning for Challenging Subseasonal-to-Seasonal Daily Arctic Sea Ice Forecasting in Deep Latent Space
di: Xu, Jingyi, et al.
Pubblicazione: (2026)

TraffNet: Learning Causality of Traffic Generation for What-if Prediction
di: Xu, Ming, et al.
Pubblicazione: (2023)

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

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
di: Ji, Jiaming, et al.
Pubblicazione: (2023)

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
di: Ma, Lipeng, et al.
Pubblicazione: (2025)

Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
di: Hu, Wenbin, et al.
Pubblicazione: (2024)

Benchmarking Autonomous Agents against Temporal, Spatial, and Semantic Evasions
di: Ma, Jianan, et al.
Pubblicazione: (2026)

TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
di: Cui, Tianyu, et al.
Pubblicazione: (2025)

SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic Flow Prediction
di: Zhang, Wenfeng, et al.
Pubblicazione: (2024)

LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
di: Ma, Lipeng, et al.
Pubblicazione: (2024)

Grounded by Experience: Generative Healthcare Prediction Augmented with Hierarchical Agentic Retrieval
di: Zhao, Chuang, et al.
Pubblicazione: (2025)