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Mobility Prediction via Rule-enhanced Knowledge Graph
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Mobility Prediction via Rule-enhanced Knowledge Graph (2024)Mobility Prediction via Rule-enhanced Kno…Urban Knowledge Graph Aided Mobile User Profiling (2023)Urban Knowledge Graph Aided M…Predicting Human Mobility via Self-Supervised Disentanglement Learning (2023)Predicting Human Mobility via…Geo-aware graph-augmented self-attention network for individual mobility prediction (2023)Geo-aware graph-augmented sel…Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction (2021)Spatio-Temporal Urban Knowled…Predictability and Prediction of Human Mobility Based on Application-Collected Location Data (2020)Predictability and Prediction…Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams (2020)Incremental Mobile User Profi…Context-aware Deep Model for Joint Mobility and Time Prediction (2020)Context-aware Deep Model for …Decentralized Attention-based Personalized Human Mobility Prediction (2019)Decentralized Attention-based…Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data (2018)Detecting Popular Temporal Mo…Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory (2017)Understanding People Lifestyl…PRED (2017)PREDPredicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…GMove (2016)GMoveModeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Modeling User Activity Prefer…Predicting future locations with hidden Markov models (2012)Predicting future locations w…Understanding individual human mobility patterns (2008)Understanding individual huma…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)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)Friendship and mobility (2011)Discovering regions of different functions in a city using human mobility and POIs (2012)Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)Exploring Millions of Footprints in Location Sharing Services (2021)A survey on deep learning for human mobility (2023)Limits of Predictability in Human Mobility (2010)Regions, Periods, Activities (2017)Trajectory-User Linking via Variational AutoEncoder (2018)Learning to Simulate Human Mobility (2020)Revisitation in Urban Space vs. Online (2018)Revealing Urban Dynamics by Learning Online and Offline Behaviours Together (2019)Demographics of mobile app usage: long-term analysis of mobile app usage (2021)The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)A Survey on Deep Learning for Human Mobility (2021)MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction (2021)Self-supervised human mobility learning for next location prediction and trajectory classification (2021)DeepMove (2018)Activity-Aware Human Mobility Prediction With Hierarchical Graph Attention Recurrent Network (2024)An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques (2024)GeoAI enabled urban computing: status and challenges (2025)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)Spatial Technology and Social Media in Remote Sensing: A Survey (2017)Customer Purchase Behavior Prediction from Payment Datasets (2018)Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective (2021)A holistic data-driven framework for developing a complete profile of bus passengers (2023)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2014Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs857 cited
  • 2012Predicting future locations with hidden Markov models384 cited
  • 2016GMove158 cited
  • 2020Context-aware Deep Model for Joint Mobility and Time Prediction78 cited
  • 2017PRED76 cited
  • 2020Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams74 cited
  • 2021Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction59 cited
  • 2018Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data37 cited
  • 2017Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory34 cited
  • 2019Decentralized Attention-based Personalized Human Mobility Prediction32 cited
  • 2020Predictability and Prediction of Human Mobility Based on Application-Collected Location Data30 cited
  • 2023Predicting Human Mobility via Self-Supervised Disentanglement Learning23 cited
  • 2023Urban Knowledge Graph Aided Mobile User Profiling

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9 cited
  • 2023Geo-aware graph-augmented self-attention network for individual mobility prediction9 cited
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