PreCLN: Pretrained-based contrastive learning network for vehicle trajectory prediction

B Yan, G Zhao, L Song, Y Yu, J Dong - World Wide Web, 2023 - Springer
Trajectory prediction of vehicles is of great importance to various smart city applications
ranging from transportation scheduling, vehicle navigation, to location-based …

MvStHgL: Multi-view Hypergraph Learning with Spatial-temporal Periodic Interests for Next POI Recommendation

J An, M Gao, J Tang - ACM Transactions on Information Systems, 2024 - dl.acm.org
Providing potential next point-of-interest (POI) suggestions for users has become a
prominent task in location-based social networks, which receives more and more attention …

Bi-Level Graph Structure Learning for Next POI Recommendation

L Wang, S Wu, Q Liu, Y Zhu, X Tao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Next point-of-interest (POI) recommendation aims to predict a user's next destination based
on sequential check-in history and a set of POI candidates. Graph neural networks (GNNs) …