LE4Mob proposes inductive, distance-aware, general-purpose location embeddings for human mobility modelling.
Read the original at arxiv.org→arXiv:2609.22117v1 Announce Type: new Abstract: Location representations provide mobility models with fundamental information about the spatial position, functional characteristics, and relationships of places....
Original headline: "LE4Mob: Towards Inductive, Distance-Aware and General-Purpose Location Embedding for Human Mobility Modelling"
Coverage timeline
- Sep 22, 04:00 UTC arXiv cs.LG lead source LE4Mob: Towards Inductive, Distance-Aware and General-Purpose Location Embedding for Human Mobility Modelling
- Sep 22, 04:00 UTC arXiv cs.LG Modelling daily activity patterns from mobile phone location data via deep representation learning