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 3 years ago)

Stargazers 242 (0 this week)

Watchers 10 (0 this week)

Forks 74

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these Knowledge-Precipitation-Tribe/Spatio-Temporal-papers is ranked #157,889 (74th percentile) for total stargazers, and #207,845 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,559/17,543.

Knowledge-Precipitation-Tribe/Spatio-Temporal-papers is also tagged with popular topics, for these it's ranked: paper (#187/445), datasets (#137/359), infrastructure (#111/248), graph-convolutional-networks (#44/111)

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: 2024-11-22 @ 10:32pm, id: 246568850 / R_kgDODrJXkg