Key papers

• Dynamic Trend Fusion Module for Traffic Flow Prediction (2025)
  Jing Chen et al.
  10.31
• Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting (2025)
  Lingxiao Cao et al.
  7.29
• M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic Prediction (2025)
  Guangyin Jin et al.
  6.91
• Research on Metro Transportation Flow Prediction Based on the STL-GRU Combined Model (2025)
  Zijie Zhou et al.
  6.23
• Optimizing Supply Chain Networks with the Power of Graph Neural Networks (2025)
  Chi-Sheng Chen et al.
  5.79
• MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction (2025)
  Mohamed Hamad et al.
  5.04
• Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation (2025)
  Nan Jiang et al.
  4.93
• Trajectory Data Mining and Trip Travel Time Prediction on Specific Roads (2024)
  Muhammad Awais Amin et al.
  4.85
• Laplacian Convolutional Representation for Traffic Time Series Imputation (2022)
  Xinyu Chen and Zhanhong Cheng and HanQin Cai and Nicolas Saunier and Lijun Sun
  4.79
• GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction (2025)
  Weiyang Kong et al.
  4.76
• Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data (2025)
  Weijiang Xiong et al.
  4.71
• A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting (2025)
  Jiankai Zheng and Liang Xie
  4.47
• Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approach (2026)
  George Stamatelis et al.
  4.39
• ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning (2026)
  Ashit Kumar Subudhi et al.
  4.39
• Human Grounded Evaluation of Large Language Models for Optical Network Automation (2026)
  Kiarash Rezaei et al.
  4.39
• The Economics of Autonomy: Real-Time Risk Indexing for Insurable AI-Driven 6G Systems (2026)
  Anthony Kiggundu et al.
  4.39
• NSMA: Neuro-Symbolic Manifold Alignment for Generalizable Adaptive Bitrate Streaming under Texture Shift (2026)
  Zhiqiang He et al.
  4.39
• ADMFormer: An Adaptive-Decomposition Transformer with Time-Varying Masked Spatial Attention for Traffic Forecasting (2026)
  Ruiwen Gu et al.
  4.27
• PHGNet: Prototype-Guided Hypergraph Construction for Heterogeneous Spatiotemporal Forecasting (2026)
  Ruiwen Gu et al.
  4.27
• FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting (2025)
  Ben-Ao Dai et al.
  4.19
• HiSTM: Hierarchical Spatiotemporal Mamba for Cellular Traffic Forecasting (2025)
  Zineddine Bettouche et al.
  3.92
• RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction (2025)
  Weilin Ruan et al.
  3.92
• Traffic Congestion Prediction Using Machine Learning Techniques (2022)
  Rafed Muhammad Yasir et al.
  3.71
• DG-STMTL: A Novel Graph Convolutional Network for Multi-Task Spatio-Temporal Traffic Forecasting (2025)
  Wanna Cui and Peizheng Wang and Faliang Yin
  3.70
• XXLTraffic: Expanding and Extremely Long Traffic forecasting beyond test adaptation (2024)
  Du Yin et al.
  3.20
• RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction (2025)
  Koyena Chowdhury et al.
  3.10
• Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network (2025)
  Vu Duc Anh Nguyen et al.
  3.10
• Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting (2025)
  Fuqiang Liu et al.
  3.10
• Traffic flow forecasting, STL decomposition, Hybrid model, LSTM, ARIMA, XGBoost, Intelligent transportation systems (2025)
  Fujiang Yuan et al.
  3.10
• Improving Internet Traffic Matrix Prediction via Time Series Clustering (2025)
  Martha Cash et al.
  3.04
• Deep Learning for Crime Forecasting: The Role of Mobility at Fine-grained Spatiotemporal Scales (2025)
  Ariadna Albors Zumel et al.
  3.04
• STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting (2025)
  Zhuding Liang et al.
  2.99
• Spatio-Temporal Demand Prediction for Food Delivery Using Attention-Driven Graph Neural Networks (2025)
  Rabia Latief Bhat and Iqra Altaf Gillani
  2.93
• A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting (2025)
  Xiao Zheng et al.
  2.76
• SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction (2025)
  Mei Wu et al.
  2.60
• Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction (2024)
  Zilin Bian et al.
  2.26
• The Merit of River Network Topology for Neural Flood Forecasting (2024)
  Nikolas Kirschstein et al.
  2.21
• Efficient Prompt Learning for Traffic Forecasting (2026)
  Qianru Zhang et al.
  1.89
• Unlocking air traffic flow prediction through microscopic aircraft-state modeling (2026)
  Bin Wang et al.
  1.89
• Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics (2026)
  ASM Nazrul Islam et al.
  1.89
• From Time Series to State: Situation-Aware Modeling for Air Traffic Flow Prediction (2026)
  Anqi Liu et al.
  1.83
• GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba (2026)
  Dongyi He et al.
  1.83
• VisiFold: Long-Term Traffic Forecasting via Temporal Folding Graph and Node Visibility (2026)
  Zhiwei Zhang et al.
  1.78
• Incident-Guided Spatiotemporal Traffic Forecasting (2026)
  Lixiang Fan et al.
  1.72
• Pruning for Generalization: A Transfer-Oriented Spatiotemporal Graph Framework (2026)
  Zihao Jing et al.
  1.72
• TUBO: A Tailored ML Framework for Reliable Network Traffic Forecasting (2026)
  Zhihang Yuan et al.
  1.72
• GraFSTNet: Graph-based Frequency SpatioTemporal Network for Cellular Traffic Prediction (2026)
  Ziyi Li et al.
  1.72
• UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions (2026)
  Yue Wang et al.
  1.72
• MoDE-Boost: Boosting Shared Mobility Demand with Edge-Ready Prediction Models (2026)
  Antonios Tziorvas et al.
  1.72
• Bikelution: Federated Gradient-Boosting for Scalable Shared Micro-Mobility Demand Forecasting (2026)
  Antonios Tziorvas et al.
  1.72
• Urban Vibrancy Embedding and Application on Traffic Prediction (2026)
  Sumin Han et al.
  1.72
• Positional-aware Spatio-Temporal Network for Large-Scale Traffic Prediction (2026)
  Runfei Chen
  1.72
• FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts (2026)
  Yiji Zhao et al.
  1.67
• Sim-MSTNet: sim2real based Multi-task SpatioTemporal Network Traffic Forecasting (2026)
  Hui Ma et al.
  1.67
• Forecasting MBTA Transit Dynamics: A Performance Benchmarking of Statistical and Machine Learning Models (2025)
  Sai Siddharth Nalamalpu and Kaining Yuan and Aiden Zhou and Eugene Pinsky
  1.61
• HSTMixer: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting (2025)
  Yongyao Wang et al.
  1.61
• Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks (2025)
  Yong Fang et al.
  1.61
• Spatio-Temporal Graph Neural Networks for Dairy Farm Sustainability Forecasting and Counterfactual Policy Analysis (2025)
  Surya Jayakumar et al.
  1.61
• Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM) (2022)
  Tianya Zhang
  1.60
• X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction (2025)
  Aanchal Rajesh Chugh et al.
  1.56