Knowledge-Precipitation-Tribe / Spatio-Temporal-papers

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Date Created 2020-03-11 (4 years ago)

Commits 156 (last one 2 years ago)

Stargazers 233 (1 this week)

Watchers 10 (0 this week)

Forks 74

License unknown

Ranking

RepositoryStats indexes 534,551 repositories, of these Knowledge-Precipitation-Tribe/Spatio-Temporal-papers is ranked #151,027 (72nd percentile) for total stargazers, and #199,760 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,295/14,929.

Knowledge-Precipitation-Tribe/Spatio-Temporal-papers is also tagged with popular topics, for these it's ranked: paper (#174/410), datasets (#127/332), infrastructure (#107/227), graph-convolutional-networks (#42/105)

Other Information

Knowledge-Precipitation-Tribe/Spatio-Temporal-papers has 1 open pull request on Github, 4 pull requests have been merged over the lifetime of the repository.

All Topics

ailab paper datasets gnn-traffic traffic-data traffic-flow infrastructure flow-prediction spatio-temporal urban-computing demand-prediction demand-forecasting traffic-prediction traffic-forecasting urban-computing-papers temporal-graph-networks spatio-temporal-networks graph-convolutional-networks

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The only known language in this repository is Jupyter Notebook

updated: 2024-06-28 @ 06:35am, id: 246568850 / R_kgDODrJXkg