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Context-aware Deep Model for Joint Mobility and Time Prediction
10 references·16 citing·35 second hop
Context-aware Deep Model for Joint Mobility and Time Prediction (2020)Context-aware Deep Model for Joint Mobili…Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)Revisiting User Mobility and …DeepMove (2018)DeepMovePOI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)POI2Vec: Geographical Latent …Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…Regularity and Conformity (2015)Regularity and ConformityExploring temporal effects for location recommendation on location-based social networks (2013)Exploring temporal effects fo…Predicting future locations with hidden Markov models (2012)Predicting future locations w…Finding your friends and following them to where you are (2012)Finding your friends and foll…Friendship and mobility (2011)Friendship and mobilityA Computer Movie Simulating Urban Growth in the Detroit Region (1970)A Computer Movie Simulating U…A review of human mobility: Linking data, models, and real-world applications (2025)A review of human mobility: L…A comprehensive methodological review of human mobility simulation and modelling: Current trends, challenges, and future directions (2025)A comprehensive methodologica…Mobility Prediction via Rule-enhanced Knowledge Graph (2024)Mobility Prediction via Rule-…Human mobility prediction with causal and spatial-constrained multi-task network (2024)Human mobility prediction wit…Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity (2024)Going Where, by Whom, and at …Exploring the potential of deep regression model for next-location prediction (2024)Exploring the potential of de…City Foundation Models for Learning General Purpose Representations from OpenStreetMap (2024)City Foundation Models for Le…Predicting Human Mobility via Self-Supervised Disentanglement Learning (2023)Predicting Human Mobility via…Translating Human Mobility Forecasting through Natural Language Generation (2022)Translating Human Mobility Fo…Generation of individual daily trajectories by GPT-2 (2022)Generation of individual dail…Beyond fixed time and space: next POI recommendation via multi-grained context and correlation (2022)Beyond fixed time and space: …Self-supervised human mobility learning for next location prediction and trajectory classification (2021)Self-supervised human mobilit…Region Invariant Normalizing Flows for Mobility Transfer (2021)Region Invariant Normalizing …MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction (2021)MobTCast: Leveraging Auxiliar…A Survey on Deep Learning for Human Mobility (2021)A Survey on Deep Learning for…Deep Learning for Human Mobility: a Survey on Data and Models. (2020)Deep Learning for Human Mobil…Understanding individual human mobility patterns (2008)Understanding mobility based on GPS data (2008)Next place prediction using mobility Markov chains (2012)Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest (2016)GMove (2016)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! 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References

  • 1970A Computer Movie Simulating Urban Growth in the Detroit Region9,754 cited
  • 2011Friendship and mobility2,912 cited
  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2018DeepMove714 cited
  • 2013Exploring temporal effects for location recommendation on location-based social networks522 cited
  • 2012Predicting future locations with hidden Markov models384 cited
  • 2012Finding your friends and following them to where you are343 cited
  • 2019Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach313 cited
  • 2017POI2Vec: Geographical Latent Representation for Predicting Future Visitors224 cited
  • 2015Regularity and Conformity139 cited

Cited by

  • 2021Self-supervised human mobility learning for next location prediction and trajectory classification49 cited
  • 2021MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction46 cited
  • 2021A Survey on Deep Learning for Human Mobility29 cited
  • 2024City Foundation Models for Learning General Purpose Representations from OpenStreetMap26 cited
  • 2024Human mobility prediction with causal and spatial-constrained multi-task network

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25 cited
  • 2023Predicting Human Mobility via Self-Supervised Disentanglement Learning23 cited
  • 2024Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity20 cited
  • 2022Translating Human Mobility Forecasting through Natural Language Generation20 cited
  • 2020Deep Learning for Human Mobility: a Survey on Data and Models.20 cited
  • 2025A review of human mobility: Linking data, models, and real-world applications17 cited
  • 2022Generation of individual daily trajectories by GPT-215 cited
  • 2022Beyond fixed time and space: next POI recommendation via multi-grained context and correlation11 cited
  • 2025A comprehensive methodological review of human mobility simulation and modelling: Current trends, challenges, and future directions9 cited
  • 2024Exploring the potential of deep regression model for next-location prediction9 cited
  • 2021Region Invariant Normalizing Flows for Mobility Transfer9 cited
  • 2024Mobility Prediction via Rule-enhanced Knowledge Graph5 cited