# tsinghua-fib-lab/Traffic-Benchmark

<https://repo.masters-masters.com/en/repos/tsinghua-fib-lab/Traffic-Benchmark>

[Home](https://repo.masters-masters.com/en) › [tsinghua-fib-lab](https://repo.masters-masters.com/en/owners/tsinghua-fib-lab) › [Traffic-Benchmark](https://repo.masters-masters.com/en/repos/tsinghua-fib-lab/Traffic-Benchmark)

tsinghua-fib-lab/Traffic-Benchmark has 337 stars on GitHub. Its RepoMasters card: Alpha tier. \[TKDD 2023\] Dynamic Graph Convolutional Recurrent Network for…

| Field | Value |
| --- | --- |
| Owner | [tsinghua-fib-lab](https://repo.masters-masters.com/en/owners/tsinghua-fib-lab) |
| Stars | 337 |
| Forks | 86 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | benchmark, dataset, dynamic-graph, gcn, gnn, graph-neural-networks, intelligent-transportation-systems, spatial-temporal-forecasting, time-series, time-series-forecasting |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [tsinghua-fib-lab/Traffic-Benchmark](https://github.com/tsinghua-fib-lab/Traffic-Benchmark) |

## Repository

\[TKDD 2023\] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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