标题/作者	年份
A comprehensive survey on graph neural networks Z Wu, S Pan, F Chen, G Long, C Zhang, SY Philip IEEE transactions on neural networks and learning systems 32 (1), 4-24	2020
Graph neural networks: A review of methods and applications J Zhou, G Cui, S Hu, Z Zhang, C Yang, Z Liu, L Wang, C Li, M Sun AI Open 1, 57-81	2020
Two-stream adaptive graph convolutional networks for skeleton-based action recognition L Shi, Y Zhang, J Cheng, H Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …	2019
Attention based spatial-temporal graph convolutional networks for traffic flow forecasting S Guo, Y Lin, N Feng, C Song, H Wan Proceedings of the AAAI conference on artificial intelligence 33 (01), 922-929	2019
Deepgcns: Can gcns go as deep as cnns? G Li, M Muller, A Thabet, B Ghanem Proceedings of the IEEE/CVF international conference on computer vision …	2019
Videos as space-time region graphs X Wang, A Gupta Proceedings of the European conference on computer vision (ECCV), 399-417	2018
Actional-structural graph convolutional networks for skeleton-based action recognition M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …	2019
Graph wavenet for deep spatial-temporal graph modeling Z Wu, S Pan, G Long, J Jiang, C Zhang arXiv preprint arXiv:1906.00121	2019
An attention enhanced graph convolutional lstm network for skeleton-based action recognition C Si, W Chen, W Wang, L Wang, T Tan Proceedings of the IEEE/CVF conference on computer vision and pattern …	2019
Skeleton-based action recognition with directed graph neural networks L Shi, Y Zhang, J Cheng, H Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …	2019
Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting X Geng, Y Li, L Wang, L Zhang, Q Yang, J Ye, Y Liu Proceedings of the AAAI conference on artificial intelligence 33 (01), 3656-3663	2019
Through-wall human pose estimation using radio signals M Zhao, T Li, M Abu Alsheikh, Y Tian, H Zhao, A Torralba, D Katabi Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Learning to simulate complex physics with graph networks A Sanchez-Gonzalez, J Godwin, T Pfaff, R Ying, J Leskovec, P Battaglia International Conference on Machine Learning, 8459-8468	2020
Sr-lstm: State refinement for lstm towards pedestrian trajectory prediction P Zhang, W Ouyang, P Zhang, J Xue, N Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …	2019
3d hand shape and pose estimation from a single rgb image L Ge, Z Ren, Y Li, Z Xue, Y Wang, J Cai, J Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …	2019
Semantic graph convolutional networks for 3d human pose regression L Zhao, X Peng, Y Tian, M Kapadia, DN Metaxas Proceedings of the IEEE/CVF conference on computer vision and pattern …	2019
Graph convolutional networks for temporal action localization R Zeng, W Huang, M Tan, Y Rong, P Zhao, J Huang, C Gan Proceedings of the IEEE/CVF International Conference on Computer Vision …	2019
Human action recognition and prediction: A survey Y Kong, Y Fu International Journal of Computer Vision 130 (5), 1366-1401	2022
Disentangling and unifying graph convolutions for skeleton-based action recognition Z Liu, H Zhang, Z Chen, Z Wang, W Ouyang Proceedings of the IEEE/CVF conference on computer vision and pattern …	2020
Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction A Mohamed, K Qian, M Elhoseiny, C Claudel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …	2020

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