Image de couverture de livre

Meta Dynamic Graph for Traffic Flow Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zou, Yiqing, Yuan, Hanning, Yang, Qianyu, Yuan, Ziqiang, Wang, Shuliang, Ruan, Sijie
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering
par: Yuan, Hanning, et autres
Publié: (2024)

Promoting Fairness in Link Prediction with Graph Enhancement
par: Liu, Yezi, et autres
Publié: (2024)

TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization
par: Zhang, Jiayi, et autres
Publié: (2025)

A parameter-free clustering algorithm for missing datasets
par: Li, Qi, et autres
Publié: (2024)

Dynamic Trend Fusion Module for Traffic Flow Prediction
par: Chen, Jing, et autres
Publié: (2025)

STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
par: Bhaumik, Kishor Kumar, et autres
Publié: (2022)

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
par: Jiang, Jiawei, et autres
Publié: (2023)

SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs
par: Fang, Lanting, et autres
Publié: (2024)

Detecting outliers by clustering algorithms
par: Li, Qi, et autres
Publié: (2024)

Incorporating Long-term Data in Training Short-term Traffic Prediction Model
par: Huang, Xiannan, et autres
Publié: (2024)

Learning from Yesterday's Error: An Efficient Online Learning Method for Traffic Demand Prediction
par: Huang, Xiannan, et autres
Publié: (2026)

MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction
par: Ma, Hui, et autres
Publié: (2025)

Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
par: Wang, Ling, et autres
Publié: (2024)

Graph Convolutional Network With Pattern-Spatial Interactive and Regional Awareness for Traffic Forecasting
par: Ji, Xinyu, et autres
Publié: (2025)

Enhanced Traffic Flow Prediction with Multi-Segment Fusion Tensor Graph Convolutional Networks
par: Zhang, Wei, et autres
Publié: (2024)

GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
par: Kong, Weiyang, et autres
Publié: (2025)

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
par: Ji, Jiahao, et autres
Publié: (2022)

UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
par: Yuan, Yuan, et autres
Publié: (2024)

Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction
par: Sheng, Zhi, et autres
Publié: (2025)

Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction
par: Mi, Yuan, et autres
Publié: (2024)

Towards Explainable Traffic Flow Prediction with Large Language Models
par: Guo, Xusen, et autres
Publié: (2024)

Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations
par: Huang, Xiannan, et autres
Publié: (2024)

Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network
par: Yaqub, Muhammad, et autres
Publié: (2024)

Reinforcement Learning-Guided Dynamic Multi-Graph Fusion for Evacuation Traffic Prediction
par: Rafi, Md Nafees Fuad, et autres
Publié: (2026)

Graph Generation with Spectral Geodesic Flow Matching
par: Huang, Xikun, et autres
Publié: (2025)

Graph Construction with Flexible Nodes for Traffic Demand Prediction
par: Hou, Jinyan, et autres
Publié: (2024)

Dynamic Graph Representation Learning for Passenger Behavior Prediction
par: Xie, Mingxuan, et autres
Publié: (2024)

UniGAD: Unifying Multi-level Graph Anomaly Detection
par: Lin, Yiqing, et autres
Publié: (2024)

DynamicDTA: Drug-Target Binding Affinity Prediction Using Dynamic Descriptors and Graph Representation
par: Luo, Dan, et autres
Publié: (2025)

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
par: Ji, Jiahao, et autres
Publié: (2022)

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
par: Miao, Hao, et autres
Publié: (2024)

Graph Based Traffic Analysis and Delay Prediction
par: Borg, Gabriele, et autres
Publié: (2024)

MSTIM: A MindSpore-Based Model for Traffic Flow Prediction
par: Qin, Weiqi, et autres
Publié: (2025)

WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
par: Jungel, Kai, et autres
Publié: (2024)

From Time Series to State: Situation-Aware Modeling for Air Traffic Flow Prediction
par: Liu, Anqi, et autres
Publié: (2026)

PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification
par: Kou, Hongrui, et autres
Publié: (2025)

CaReFlow: Cyclic Adaptive Rectified Flow for Multimodal Fusion
par: Mai, Sijie, et autres
Publié: (2026)

Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing
par: Liu, Yezi, et autres
Publié: (2025)

Predicting Subway Passenger Flows under Incident Situation with Causality
par: Huang, Xiannan, et autres
Publié: (2024)

RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
par: Ruan, Weilin, et autres
Publié: (2025)