{"total":35,"rows":[{"id":"2109.12764","title":"Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving","created":"2021-09-27","cited_by_count":36,"area":null},{"id":"2208.05908","title":"Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks","created":"2022-08-11","cited_by_count":29,"area":null},{"id":"2304.14343","title":"LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction","created":"2023-04-27","cited_by_count":20,"area":null},{"id":"2205.11131","title":"Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels","created":"2022-05-23","cited_by_count":19,"area":null},{"id":"2306.09882","title":"Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction","created":"2023-06-16","cited_by_count":19,"area":null},{"id":"2305.19591","title":"Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities","created":"2023-05-31","cited_by_count":16,"area":null},{"id":"2107.00946","title":"Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation","created":"2021-07-02","cited_by_count":12,"area":null},{"id":"2303.17027","title":"EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction","created":"2023-03-29","cited_by_count":10,"area":null},{"id":"2408.05920","title":"Urban Region Pre-training and Prompting: A Graph-based Approach","created":"2024-08-12","cited_by_count":8,"area":null},{"id":"2101.00752","title":"Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph","created":"2021-01-04","cited_by_count":7,"area":null},{"id":"2206.15005","title":"Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction","created":"2022-06-30","cited_by_count":7,"area":null},{"id":"2111.15119","title":"Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction","created":"2021-11-30","cited_by_count":6,"area":null},{"id":"2112.01019","title":"Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and A New Benchmark","created":"2021-12-02","cited_by_count":5,"area":null},{"id":"2303.00524","title":"Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach","created":"2023-02-28","cited_by_count":5,"area":null},{"id":"2109.14251","title":"Road Network Guided Fine-Grained Urban Traffic Flow Inference","created":"2021-09-29","cited_by_count":4,"area":null},{"id":"2108.03900","title":"Completion and Augmentation based Spatiotemporal Deep Learning Approach for Short-Term Metro Origin-Destination Matrix Prediction under Limited Observable Data","created":"2021-08-09","cited_by_count":2,"area":null},{"id":"2110.12371","title":"Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities","created":"2021-10-24","cited_by_count":2,"area":null},{"id":"2306.13897","title":"ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility","created":"2023-06-24","cited_by_count":2,"area":null},{"id":"2308.12899","title":"Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]","created":"2023-08-24","cited_by_count":2,"area":null},{"id":"2203.10301","title":"Exploring the impact of spatiotemporal granularity on the demand prediction of dynamic ride-hailing","created":"2022-03-19","cited_by_count":1,"area":null},{"id":"2307.02637","title":"Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare","created":"2023-07-05","cited_by_count":1,"area":null},{"id":"2405.05786","title":"FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration","created":"2024-05-09","cited_by_count":1,"area":null},{"id":"2501.03583","title":"STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models","created":"2025-01-07","cited_by_count":1,"area":null},{"id":"2111.14625","title":"Cyclic Graph Attentive Match Encoder (CGAME): A Novel Neural Network For OD Estimation","created":"2021-11-26","cited_by_count":0,"area":null},{"id":"2203.12505","title":"A Spatial-Temporal Attention Multi-Graph Convolution Network for Ride-Hailing Demand Prediction Based on Periodicity with Offset","created":"2022-03-23","cited_by_count":0,"area":null},{"id":"2206.04053","title":"Unsupervised Knowledge Adaptation for Passenger Demand Forecasting","created":"2022-06-08","cited_by_count":0,"area":null},{"id":"2402.12808","title":"Learning Generalization and Regularization of Nonhomogeneous Temporal Poisson Processes","created":"2024-02-20","cited_by_count":0,"area":null},{"id":"2407.15868","title":"A Survey on Differential Privacy for SpatioTemporal Data in Transportation Research","created":"2024-07-18","cited_by_count":0,"area":null},{"id":"2409.04942","title":"UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method","created":"2024-09-08","cited_by_count":0,"area":null},{"id":"2503.24237","title":"Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2507.15246","title":"Spatio-Temporal Demand Prediction for Food Delivery Using Attention-Driven Graph Neural Networks","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2512.13745","title":"A Spatio-Temporal Hybrid Quantum-Classical Graph Convolutional Neural Network Approach for Urban Taxi Destination Prediction","created":"2025-12-15","cited_by_count":0,"area":null},{"id":"2602.16730","title":"MMCAformer: Macro-Micro Cross-Attention Transformer for Traffic Speed Prediction with Microscopic Connected Vehicle Driving Behavior","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2606.21022","title":"Structure-Aware Graph Multi-Task Learning for Dynamic Sparse OD Demand Prediction","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2610.13730","title":"SeoulMMOD: A Large-Scale Multimodal Origin-Destination Flow Benchmark","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}