Reference:Reference-023801: Difference between revisions
From CSDMS
Created page with "{{CSDMS reference template cargo |DOIentry=10.1109/TKDE.2023.3324501 }} {{RefsInt1 |FeatureRef=No |PublicationClusterID=0 |MS_PublicationClusterID=0 |Semantic_ID=fed94bf6d347a847bb956f2f0880fa9c9357f211 |PublicationWhatKindOf=a module application description |PublicationHPCCYesno=No |PublicationNrofModels=a single module }} {{RefsInt2 |PublicationMultipleModelsCargo=STWAVE }} {{RefsInt3}}" |
m Text replacement - "None" to "" |
||
| (2 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
{{ | {{BibEntryCargo | ||
| | |Firstname=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 | |||
|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 | |||
|Note=Auto downloaded ref at: 2024-08-30 | |||
}} | }} | ||
{{RefsInt1 | {{RefsInt1 | ||
| Line 7: | Line 17: | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=fed94bf6d347a847bb956f2f0880fa9c9357f211 | |Semantic_ID=fed94bf6d347a847bb956f2f0880fa9c9357f211 | ||
|CorpusID=0 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |||
|PublicationHPCCYesno=No | |PublicationHPCCYesno=No | ||
}} | }} | ||
{{RefsInt2 | {{RefsInt2 | ||
|PublicationMultipleModelsCargo=STWAVE | |PublicationMultipleModelsCargo=STWAVE | ||
}} | }} | ||
{{RefsInt3}} | {{RefsInt3 | ||
|PublicationAnimationsCargo= | |||
}} | |||
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
|
| |
|
| 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: |
|
| Model(s) discussed: | STWAVE
|
