Sign inGet started
Paper · arXiv

RTSKG: Building a Rail Transit Station Knowledge Graph Dataset

Rail transit systems play a vital role in urban mobility and economic development. As key components of such systems, rail transit stations function as critical transport hubs that enhance urban accessibility and stimulate development in surrounding areas. City-level rail transit station related tasks (e.g., ridership prediction) require large-scale urban data, but current studies often neglect complex interactions among various urban entities in terms of data organization. In this paper, to address the above issue, we build a Rail Transit Station Knowledge Graph (RTSKG) dataset which explicitly models the spatial and semantic interactions among different kinds of urban entities, to benef...

AuthorsShutong Zhu, Tianxing Wu, Runfeng Liu et al.
Primary categorycs.AI
Published11 August 2026
Last updated at source11 August 2026
cs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/ceec92bd-b515-4cd6-a18c-bd61efb45ad1" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.