| Deep graph library: Towards efficient and scalable deep learning on graphs MY Wang ICLR workshop on representation learning on graphs and manifolds, 2019 | 716 | 2019 |
| Deep graph library: towards efficient and scalable deep learning on graphs. CoRR abs/1909.01315 (2019) M Wang, L Yu, QG Da Zheng, Y Gai, Z Ye, M Li, J Zhou, Q Huang, C Ma, ... arXiv preprint arXiv:1909.01315, 2019 | 29 | 2019 |
| Kaisa: an adaptive second-order optimizer framework for deep neural networks JG Pauloski, Q Huang, L Huang, S Venkataraman, K Chard, I Foster, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 24 | 2021 |
| Systematic generalization on gscan with language conditioned embedding T Gao, Q Huang, RJ Mooney AACL-IJCNLP 2020, 2020 | 18 | 2020 |
| Deep graph library, 2018 M Wang, L Yu, Q Gan, D Zheng, Y Gai, Z Ye, M Li, J Zhou, Q Huang, ... URL http://dgl. ai, 0 | 7 | |
| Deep graph library M Wang, L Yu, Q Gan, D Zheng, Y Gai, Z Ye, M Li, J Zhou, Q Huang, ... | 6 | 2018 |
Zhao ZhangECE, Rutgers UniversityVerified email at rutgers.edu
