Graph contrastive learning with global trajectory flow for next-POI recommendation

This publication has 30 references indexed in Scilit:

• Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning
  IEEE Transactions on Knowledge and Data Engineering, 2024
• Hyper-relational knowledge graph neural network for next POI recommendation
  World Wide Web, 2024
• Bi-Level Graph Structure Learning for Next POI Recommendation
  IEEE Transactions on Knowledge and Data Engineering, 2024
• High-order spatial connectivity mining over neural graph collaborative filtering for POI recommendation in location-based social networks
  Evolving Systems, 2024
• Attentive sequential model based on graph neural network for next poi recommendation
  World Wide Web, 2021
• Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
  IEEE Transactions on Knowledge and Data Engineering, 2020
• Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
  2018
• Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs
  IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2014
• What's Your Next Move: User Activity Prediction in Location-based Social Networks
  2013
• Matrix Factorization Techniques for Recommender Systems
  Computer, 2009