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Integrated Spatio-temporal Data Mining for Forest Fire Prediction

Transactions in GIS, 2008-10, Vol.12 (5), p.591-611

2008

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AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction

Artificial intelligence, 2023-05, Vol.318, p.103899, Article 103899

2023

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Deep spatio-temporal 3D densenet with multiscale ConvLSTM-Resnet network for citywide traffic flow forecasting

Knowledge-based systems, 2022-08, Vol.250, p.109054, Article 109054

2022

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Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network

Transportation research. Part C, Emerging technologies, 2023-08, Vol.153, p.104205, Article 104205

2023

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Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map

Neurocomputing (Amsterdam), 2022-02, Vol.472, p.280-293

2022

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Nationwide Behavior-Aware Coordinates Mining From Uncertain Delivery Events

IEEE transactions on knowledge and data engineering, 2024-11, Vol.36 (11), p.6681-6698

2024

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Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach

IEEE transactions on emerging topics in computing, 2020-01, Vol.8 (1), p.148-158

2020

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Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

IEEE transactions on intelligent transportation systems, 2022-07, Vol.23 (7), p.6164-6188

2022

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Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

IEEE transactions on knowledge and data engineering, 2024-10, Vol.36 (10), p.5388-5408

2024

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Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework

IEEE transactions on intelligent transportation systems, 2022-09, Vol.23 (9), p.16148-16160

2022

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Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding

IEEE transactions on knowledge and data engineering, 2023, p.1-15

2023

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Trajectory-User Linking via Multi-Scale Graph Attention Network

Pattern recognition, 2025-02, Vol.158, p.110978, Article 110978

2025

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Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting

IEEE transactions on intelligent transportation systems, 2024-10, Vol.25 (10), p.14070-14086

2024

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ED-ACNN: Novel attention convolutional neural network based on encoder–decoder framework for human traffic prediction

Applied soft computing, 2020-12, Vol.97, p.106688, Article 106688

2020

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Transferrable contextual feature clusters for parking occupancy prediction

Pervasive and mobile computing, 2024-01, Vol.97, p.101831, Article 101831

2024

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An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak

IEEE transactions on big data, 2021-03, Vol.7 (1), p.45-55

2021

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Unveiling the complexity of human mobility by querying and mining massive trajectory data

The VLDB journal, 2011-10, Vol.20 (5), p.695-719

2011

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Big spatio-temporal data mining for emergency management information systems

IET intelligent transport systems, 2019-11, Vol.13 (11), p.1649-1657

2019

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BP-Model-based convoy mining algorithms for moving objects

Expert systems with applications, 2023-03, Vol.213, p.118860, Article 118860

2023

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Exploring Bus Stop Mobility Pattern: A Multi-Pattern Deep Learning Prediction Framework

IEEE transactions on intelligent transportation systems, 2024-07, Vol.25 (7), p.6604-6616

2024

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Recommending friends and locations based on individual location history

ACM transactions on the web, 2011-02, Vol.5 (1), p.1-44

2011

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A system for mining interesting tourist locations and travel sequences from public geo-tagged photos

Data & knowledge engineering, 2015-01, Vol.95, p.66-86

2015

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Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting

IEEE transactions on knowledge and data engineering, 2023-09, Vol.35 (9), p.9254-9268

2023

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Proactive control model for safety prediction in tailing dam management: Applying graph depth learning optimization

Process safety and environmental protection, 2023-04, Vol.172, p.329-340

2023

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Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation

ACM transactions on information systems, 2023-09, Vol.42 (2), p.1-30, Article 37

2023

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Integrated Spatio-temporal Data Mining for Forest Fire Prediction

AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction

Deep spatio-temporal 3D densenet with multiscale ConvLSTM-Resnet network for citywide traffic flow forecasting

Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network

Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map

Nationwide Behavior-Aware Coordinates Mining From Uncertain Delivery Events

Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework

Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding

Trajectory-User Linking via Multi-Scale Graph Attention Network

Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting

ED-ACNN: Novel attention convolutional neural network based on encoder–decoder framework for human traffic prediction

Transferrable contextual feature clusters for parking occupancy prediction

An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak

Unveiling the complexity of human mobility by querying and mining massive trajectory data

Big spatio-temporal data mining for emergency management information systems

BP-Model-based convoy mining algorithms for moving objects

Exploring Bus Stop Mobility Pattern: A Multi-Pattern Deep Learning Prediction Framework

Recommending friends and locations based on individual location history

A system for mining interesting tourist locations and travel sequences from public geo-tagged photos

Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting

Proactive control model for safety prediction in tailing dam management: Applying graph depth learning optimization

Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation

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