Reference:Reference-023801: Difference between revisions
From CSDMS
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|Year=2024-06 | |Year=2024-06 | ||
|Journal=IEEE Transactions on Knowledge and Data Engineering | |Journal=IEEE Transactions on Knowledge and Data Engineering | ||
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|Volume=36 | |Volume=36 | ||
|Pages=2671–2685 | |Pages=2671–2685 | ||
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Latest revision as of 11:51, 12 November 2024
| Author(s) | Fang, Yuchen; Qin, Yanjun; Luo, Haiyong; Zhao, Fang; Zheng, Kai; |
| BibType | journalArticle |
| Title | STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting |
| Editors | |
| Year | 2024-06 |
| Journal | IEEE Transactions on Knowledge and Data Engineering |
| Booktitle | |
| Volume | 36 |
| Pages | 2671–2685 |
| URL | https://ieeexplore.ieee.org/document/10286992/ |
| DOI | 10.1109/TKDE.2023.3324501 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-30
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | fed94bf6d347a847bb956f2f0880fa9c9357f211 |
| Nr of citations | 1 |
| Sort of publication | a module application description |
| Sort of model publication | a single module |
| Is the CSDMS HPC used | No |
| If HPC is used, for what project was it?: | |
| Associated simulation movie if any: |
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| Model(s) discussed: | STWAVE
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