最近啊~学姐为了工作在研究时间序列方面的知识,我发现交通预测真的很有趣,然后就准备深入研究一下,第一步就是去找论文啦~都说读论文头秃,其实找论文也头秃,学姐的头发又少了一层。 所以为了让我可爱的粉丝们以后不用再花植发的钱,再买护肝片,再保温杯里热牛奶泡枸杞,学姐决定把我的劳动成果——找到的有关于“图神经网络的交通预测的论文”贡献给大家!需要的就自取叭!(但能不能麻烦各位给点个👍,qvq) 交通预测图神经网络论文合集Journal(期刊)47篇
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Using Graph Convolutional Networks and the Trajectory Data[J]. 刊名及日期: Journal of Electrical and Computer Engineering, 2021, 2021. 论文链接: https://www./journals/jece/2021/9956406/ 47 Xu C, Zhang A, Xu C, et al. 论文名称: Traffic speed prediction: spatiotemporal convolution network based on long-term, short-term and spatial features[J]. 刊名及日期: Applied Intelligence, 2021: 1-19. 论文链接: https://link./article/10.1007/s10489-021-02461-9 代码: https:///documents/pems Conference(会议)25篇01 作者: Chen Z, Wu H, O'Connor N E, et al. 论文名称: A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes[C]. 会议名称及时间: 2021 IEEE 24rd International Conference on Intelligent Transportation Systems (ITSC). 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IEEE, 2021. 论文链接: https:///abs/2104.12518 代码: https://github.com/AmitRoy7781/USTGCN 25 Chen Y, Segovia-Dominguez I, Gel Y R. 论文名称: Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting[C]. 会议名称及时间: Accepted at the International Conference on Machine Learning (ICML) 2021. 论文链接: https:///abs/2105.04100 代码: https://github.com/Z-GCNETs/Z-GCNETs.git Preprint(文章)11篇01 Fu J, Zhou W, Chen Z. 文章名称: Bayesian Graph Convolutional Network for Traffic Prediction[J]. 编号及日期: arXiv preprint arXiv:2104.00488, 2021. 论文链接: https:///abs/2104.00488 02 Lin H, Gao Z, Wu L, et al. 文章名称: Conditional Local Filters with Explainers for Spatio-Temporal Forecasting[J]. 编号及日期: arXiv preprint arXiv:2101.01000, 2021. 论文链接: https:///abs/2101.01000v1 03 Li F, Feng J, Yan H, et al. 文章名称: Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution[J]. 编号及日期: arXiv preprint arXiv:2104.14917, 2021. 论文链接: https:///abs/2104.14917 代码: https://github.com/tsinghua-fib-lab/Traffic-Benchmark 04 Chen J, Li K, Li K, et al. 文章名称: Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network[J]. 编号及日期: arXiv preprint arXiv:2101.07425, 2021. Link 论文链接: https:///abs/2101.07425 05 Lu Y, Ding H, Ji S, et al. 文章名称: Dual attentive graph neural network for metro passenger flow prediction[J]. 编号及日期: Researchgate preprint. Link 论文链接: https://www./publication/350372196_Dual_attentive_graph_neural_network_for_metro_passenger_flow_prediction 06 Li Y, Wang D, Moura J M F. 文章名称: GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention[J]. 编号及日期: arXiv preprint arXiv:2104.05914, 2021. 论文链接: https:///abs/2104.05914 07
Ye J, Zheng F, Zhao J, et al. 文章名称: Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting[J]. 编号及日期: arXiv preprint arXiv:2107.01528, 2021. 论文链接: https:///abs/2107.01528 08 Li M, Chen S, Shen Y, et al. 文章名称: Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network[J]. 编号及日期: arXiv preprint arXiv:2107.00894, 2021. 论文链接: https:///abs/2107.00894 09 Wang Y, Yin H, Chen T, et al. 文章名称: Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph[J]. 编号及日期: arXiv preprint arXiv:2101.00752, 2021. 论文链接: https:///abs/2101.00752 10 Jin G, Yan H, Li F, et al. 文章名称: Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation[J]. 编号及日期: arXiv preprint arXiv:2105.13591, 2021. 论文链接: https:///abs/2105.13591 11 Xu X, Zhang T, Xu C, et al. 文章名称: Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction[J]. 编号及日期: arXiv preprint arXiv:2103.06126, 2021. 论文链接: https:///abs/2103.06126 因为数量比较多,2021年的更新整理了一下,2021年之前的学姐把传送门按上大家自取即可! 传送门: https://github.com/Jhy1993/Awesome-GNN-Recommendation 参考文档: https://github.com/Jhy1993/Awesome-GNN-Recommendation |
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