| Layer-dependent importance sampling for training deep and large graph convolutional networks D Zou, Z Hu, Y Wang, S Jiang, Y Sun, Q Gu Advances in neural information processing systems 32, 2019 | 285 | 2019 |
| Role of road network features in the evaluation of incident impacts on urban traffic mobility C Sun, X Pei, J Hao, Y Wang, Z Zhang, SC Wong Transportation research part B: methodological 117, 101-116, 2018 | 33 | 2018 |
| Demystifying graph neural network via graph filter assessment Y Wang, Z Hu, Y Ye, Y Sun | 8 | 2019 |
| A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware S Zhang, A Sohrabizadeh, C Wan, Z Huang, Z Hu, Y Wang, J Cong, ... arXiv preprint arXiv:2306.14052, 2023 | 7 | 2023 |
| THIR2 at the NTCIR-13 Lifelog-2 Task: Bridging Technology and Psychology through the Lifelog Personality, Mood and Sleep Quality. P Soleimaninejadian, Y Wang, H Tong, Z Feng, M Zhang, Y Liu, S Ma NTCIR, 2017 | 7 | 2017 |
| Big five personality measurement based on lifelog Y Wang, M Zhang, P Soleimaninejadian, H Tong, Z Feng Proceedings of the 2nd Workshop on Lifelogging Tools and Applications, 25-28, 2017 | 5 | 2017 |
| Dissimilar nodes improve graph active learning Z Ren, Y Yuan, Y Wu, X Gao, Y Wang, Y Sun arXiv preprint arXiv:2212.01968, 2022 | 1 | 2022 |
| Decoupled Greedy Learning of Graph Neural Networks Y Wang, J Tang, Y Sun, G Wolf | 1 | 2020 |
| Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks Y Wang, S Zhang, J Cho, Y Sun Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
