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Combining recurrent and Graph Neural Networks to predict the next place’s category
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Combining recurrent and Graph Neural Networks to predict the next place’s category (2022)Combining recurrent and Graph Neural Netw…A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method (2022)A framework for urban land us…Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Urban function classification…Modeling Spatial Trajectories With Attribute Representation Learning (2020)Modeling Spatial Trajectories…Smartphone App Usage Prediction Using Points of Interest (2018)Smartphone App Usage Predicti…DeepMove (2018)DeepMoveA Framework and a Tool for Semantic Annotation of POIs in OpenStreetMap (2014)A Framework and a Tool for Se…OpenStreetMap: User-Generated Street Maps (2008)OpenStreetMap: User-Generated…The world is flat: a brief history of the twenty-first century (2006)Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 (2007)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (2010)Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010)LinkedGeoData: Adding a Spatial Dimension to the Web of Data (2009)Recognition of Functional Areas Based on Call Detail Records and Point of Interest Data (2020)Point of Interest Data (POI) based Safe Route Navigation System (2022)Habits make smartphone use more pervasive (2011)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Strategies and limitations in app usage and human mobility (2019)User profiling from their use of smartphone applications: A survey (2019)Exploring Millions of Footprints in Location Sharing Services (2021)Characterizing Internet Card User Portraits for Efficient Churn Prediction Model Design (2023)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)Predicting Human Mobility via Variational Attention (2019)Learning to Simulate Human Mobility (2020)A survey on deep learning for human mobility (2023)Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting user’s next location using machine learning algorithms (2020)Embedding Hierarchical Structures for Venue Category Representation (2021)A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs (2023)Discovering regions of different functions in a city using human mobility and POIs (2012)Human mobility: Models and applications (2018)Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions (2021)A hypergraph-based hybrid graph convolutional network for intracity human activity intensity prediction and geographic relationship interpretation (2023)Geospatial Big Data: Challenges and Opportunities (2015)Mining point-of-interest data from social networks for urban land use classification and disaggregation (2015)Identifying urban functional zones by capturing multi-spatial distribution patterns of points of interest (2022)Conflating point of interest (POI) data: A systematic review of matching methods (2023)The effects of urban land use on energy-related CO2 emissions in China (2023)
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References

  • 2008OpenStreetMap: User-Generated Street Maps3,219 cited
  • 2018DeepMove714 cited
  • 2021Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach162 cited
  • 2018Smartphone App Usage Prediction Using Points of Interest101 cited
  • 2022A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method97 cited
  • 2020Modeling Spatial Trajectories With Attribute Representation Learning37 cited
  • 2014A Framework and a Tool for Semantic Annotation of POIs in OpenStreetMap17 cited

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