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Geo-aware graph-augmented self-attention network for individual mobility prediction · Study

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ArticleGeo-aware graph-augmented self-attention network for individual mobility prediction

Yahui Wang2023

Article2023

Geo-aware graph-augmented self-attention network for individual mobility prediction

Yahui Wang · Hongchang Chen · Shuxin Liu · Yuxiang Hu

9 citations·0/0 files stored·Future Generation Computer Systems

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Human Mobility and Location-Based Analysis Data Management and Algorithms Traffic Prediction and Management Techniques

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References

2008Understanding individual human mobility patterns 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts 2014Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs 2018DeepMove 2013Exploring temporal effects for location recommendation on location-based social networks 2012Predicting future locations with hidden Markov models 2020Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!2020A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction

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2024Mobility Prediction via Rule-enhanced Knowledge Graph

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Year2023

Typearticle

Published2023-09-21

VenueFuture Generation Computer Systems

ISSN-L0167-739X

Languageen

Citations9

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1016/j.future.2023.09.021

openalex_workW4386913602

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