Papers on urban computing
[1] 什么是新基建
[2] 百度AI新基建版图
[3] 新基建项目盘点
[1] 百度城市大脑白皮书
[2] 区块链赋能新型智慧城市白皮书
[3] 京东云智能城市白皮书2019
[4] 中国智能城市发展战略与策略研究
[5] 城市交通数字化转型白皮书
[1] Yu Zheng: link
[2] JD city : link
[3] alibaba: link
[4] Huawei: link
[5] ByteDance: link
[6] alibaba damo academy: link
[7] Tencent: link
[8] Microsoft: link
[9] intel: link
[10] FACEBOOK: link
[11] Google: link
[12] National Laboratory of Pattern Recognition: link
[13] Baidu: link
[14] JD cloud: link
[1] GAIA Open Dataset: link
Graph neural network on traffic forecasting
[1] Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. IJCAI 2018. paper, code.
Bing Yu, Haoteng Yin, Zhanxing Zhu
[2] Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand Forecasting. AAAI 2019. paper.
Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu
[3] Spatio-Temporal Graph Structure Learning for Traffic Forecasting. AAAI 2020. paper.
Qi Zhang, Jianlong Chang, Gaofeng Meng, Shiming Xiang, Chunhong Pan
[4] GMAN: A Graph Multi-Attention Network for Traffic Prediction. AAAI 2020. paper, code.
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi
[5] Graph WaveNet for Deep Spatial-Temporal Graph Modeling. IJCAI 2019. paper.
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang
[6] Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting. AAAI 2020. paper, code.
Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan
[7] DIFFUSION CONVOLUTIONAL RECURRENT NEURAL NETWORK: DATA-DRIVEN TRAFFIC FORECASTING. ICLR 2018. paper.
Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu
[8] Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. AAAI 2019. paper code.
Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, Huaiyu Wan
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