{"total":33,"rows":[{"id":"2310.01728","title":"Time-LLM: Time Series Forecasting by Reprogramming Large Language Models","created":"2023-10-03","cited_by_count":700,"area":null},{"id":"2307.03759","title":"A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection","created":"2023-07-07","cited_by_count":145,"area":null},{"id":"2303.14483","title":"Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey","created":"2023-03-25","cited_by_count":140,"area":null},{"id":"2402.11838","title":"UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction","created":"2024-02-19","cited_by_count":87,"area":null},{"id":"2503.21411","title":"Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap","created":"2025-03-27","cited_by_count":26,"area":null},{"id":"2402.01749","title":"Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models","created":"2024-01-30","cited_by_count":23,"area":null},{"id":"2403.05798","title":"$\\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting","created":"2024-03-09","cited_by_count":17,"area":null},{"id":"2408.12116","title":"Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning","created":"2024-08-22","cited_by_count":15,"area":null},{"id":"2404.14241","title":"UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation","created":"2024-04-22","cited_by_count":10,"area":null},{"id":"2405.12452","title":"Prompt-Based Spatio-Temporal Graph Transfer Learning","created":"2024-05-21","cited_by_count":10,"area":null},{"id":"2303.11977","title":"Deep trip generation with graph neural networks for bike sharing system expansion","created":"2023-03-20","cited_by_count":8,"area":null},{"id":"2309.05072","title":"Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction","created":"2023-09-10","cited_by_count":8,"area":null},{"id":"2211.08903","title":"Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks","created":"2022-11-16","cited_by_count":7,"area":null},{"id":"2401.10518","title":"Spatial-temporal Forecasting for Regions without Observations","created":"2024-01-19","cited_by_count":6,"area":null},{"id":"2302.11774","title":"Semantic-Fused Multi-Granularity Cross-City Traffic Prediction","created":"2023-02-23","cited_by_count":4,"area":null},{"id":"2408.04245","title":"Scalable Transformer for High Dimensional Multivariate Time Series Forecasting","created":"2024-08-08","cited_by_count":3,"area":null},{"id":"2412.10912","title":"ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data","created":"2024-12-14","cited_by_count":3,"area":null},{"id":"2503.04952","title":"INTENT: Trajectory Prediction Framework with Intention-Guided Contrastive Clustering","created":"2025-03-06","cited_by_count":2,"area":null},{"id":"2608.10553","title":"Retrieval-Corrected Conformal Prediction for Time Series","created":"2026-08-11","cited_by_count":2,"area":null},{"id":"2412.17921","title":"VITRO: Vocabulary Inversion for Time-series Representation Optimization","created":"2024-12-23","cited_by_count":1,"area":null},{"id":"2505.14752","title":"LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2602.01936","title":"PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2609.37078","title":"ZeroDiff: Zero-Shot Time Series Reconstruction via Informed-Prior Diffusion","created":"2026-09-29","cited_by_count":1,"area":null},{"id":"2212.04548","title":"STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction","created":"2022-12-08","cited_by_count":0,"area":null},{"id":"2308.12828","title":"Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graph","created":"2023-08-24","cited_by_count":0,"area":null},{"id":"2405.08843","title":"FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning","created":"2024-05-14","cited_by_count":0,"area":null},{"id":"2408.02689","title":"Spatio-Temporal Partial Sensing Forecast for Long-term Traffic","created":"2024-08-02","cited_by_count":0,"area":null},{"id":"2501.11306","title":"Collaborative Imputation of Urban Time Series through Cross-city Meta-learning","created":"2025-01-20","cited_by_count":0,"area":null},{"id":"2503.11963","title":"Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective","created":"2025-03-15","cited_by_count":0,"area":null},{"id":"2604.07383","title":"SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2605.19172","title":"Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2606.15642","title":"CIWI-CKT: Chaos-Informed Wave Interference Feature Fusion and Cross-City Knowledge Transfer for Traffic Flow Forecasting","created":"2026-06-14","cited_by_count":0,"area":null},{"id":"2606.15807","title":"Continuous Cross-Domain Traffic State Prediction via Memory-Augmented Graph Liquid Time-Constant Networks","created":"2026-06-14","cited_by_count":0,"area":null}],"next_cursor":null}