Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks. (arXiv:2211.08903v1 [cs.LG])

For bike sharing systems, demand prediction is crucial to ensure the timely
re-balancing of available bikes according to predicted demand. Existing methods
for bike sharing demand prediction are mostly based on its own historical
demand variation, essentially regarding it as a closed system and neglecting
the interaction between different transportation modes. This is particularly
important for bike sharing because it is often used to complement travel
through other modes (e.g., public transit). Despite some recent progress, no
existing method is …

arxiv bike graph graph neural networks knowledge networks neural networks prediction