%0 Journal Article %1 journals/nn/AnGLFRLL21 %A An, Jiyao %A Guo, Liang %A Liu, Wei %A Fu, Zhiqiang %A Ren, Ping %A Liu, Xinzhi %A Li, Tao %D 2021 %J Neural Networks %K dblp %P 355-367 %T IGAGCN: Information geometry and attention-based spatiotemporal graph convolutional networks for traffic flow prediction. %U http://dblp.uni-trier.de/db/journals/nn/nn143.html#AnGLFRLL21 %V 143

@article{journals/nn/AnGLFRLL21, added-at = {2021-12-15T00:00:00.000+0100}, author = {An, Jiyao and Guo, Liang and Liu, Wei and Fu, Zhiqiang and Ren, Ping and Liu, Xinzhi and Li, Tao}, biburl = {https://www.bibsonomy.org/bibtex/2d89bdc7cda55f60d88c81462fc94424f/dblp}, ee = {https://doi.org/10.1016/j.neunet.2021.05.035}, interhash = {9bfe4b5343a05222d40df1d7e2d83889}, intrahash = {d89bdc7cda55f60d88c81462fc94424f}, journal = {Neural Networks}, keywords = {dblp}, pages = {355-367}, timestamp = {2024-04-09T05:24:25.000+0200}, title = {IGAGCN: Information geometry and attention-based spatiotemporal graph convolutional networks for traffic flow prediction.}, url = {http://dblp.uni-trier.de/db/journals/nn/nn143.html#AnGLFRLL21}, volume = 143, year = 2021 }