%0 Journal Article %1 Bai_2021 %A Bai, Jiandong %A Zhu, Jiawei %A Song, Yujiao %A Zhao, Ling %A Hou, Zhixiang %A Du, Ronghua %A Li, Haifeng %D 2021 %I MDPI AG %J ISPRS International Journal of Geo-Information %K gnn moonshot temporalgnn %N 7 %P 485 %R 10.3390/ijgi10070485 %T A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting %U https://doi.org/10.3390%2Fijgi10070485 %V 10

@article{Bai_2021, added-at = {2022-09-01T12:52:42.000+0200}, author = {Bai, Jiandong and Zhu, Jiawei and Song, Yujiao and Zhao, Ling and Hou, Zhixiang and Du, Ronghua and Li, Haifeng}, biburl = {https://www.bibsonomy.org/bibtex/23afaf987d39065f4a0de164154e85b92/moonshot}, description = {IJGI | Free Full-Text | A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting}, doi = {10.3390/ijgi10070485}, interhash = {a35cd2185649366ec7938e02c7f349f8}, intrahash = {3afaf987d39065f4a0de164154e85b92}, journal = {{ISPRS} International Journal of Geo-Information}, keywords = {gnn moonshot temporalgnn}, month = jul, number = 7, pages = 485, publisher = {{MDPI} {AG}}, timestamp = {2023-12-21T22:20:58.000+0100}, title = {A3T-{GCN}: Attention Temporal Graph Convolutional Network for Traffic Forecasting}, url = {https://doi.org/10.3390%2Fijgi10070485}, volume = 10, year = 2021 }