(2017). Sparse coding based orientation estimation for latent fingerprints. Pattern Recognition, 67, 164–176. Liu, J., Yan, J., Deng, D., & Zhang, R. (2020). Fingerprint image quality assessment based on BP neural network with hierarchical clustering. IET Information Security, 14(2), 1...
If you have any questions, please contact the SIG:Base-service, and any of the maintainers:@zhujianwei001,@xiezhipeng1,@dillon_chen,@shenyangyang01,@overweight, @licihua, any of the committers:@yanan-rock, @yangwentong ,@lcynju,@kevinchannn,@caodongxia,@desert-sailor,@lin-shoubao,@lvyi...
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training, KDD'20, Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang DGL-KE: Training Knowledge Graph Embeddings at Scale, SIGIR'20, Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, ...
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training, KDD'20,Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang DGL-KE: Training Knowledge Graph Embeddings at Scale, SIGIR'20,Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Ziha...
or even start your own. * Take your Python knowledge and coding skills to the next level. * Write clean, innovative code that will be respected among your peers. * Make your code do more with introspection and metaprogramming. * Design complete frameworks and libraries (two are included in ...
codingOuch / The-Flask-Mega-Tutorial-zh collectPython / The-Flask-Mega-Tutorial-zh colotu / The-Flask-Mega-Tutorial-zh cove9988 / The-Flask-Mega-Tutorial-zh cqyyb / The-Flask-Mega-Tutorial-zh csutong / The-Flask-Mega-Tutorial-zh Ctrlsman / The-Flask-Mega-Tutorial-zh curiosit...
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training, KDD'20,Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang DGL-KE: Training Knowledge Graph Embeddings at Scale, SIGIR'20,Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Ziha...
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training, KDD'20, Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang DGL-KE: Training Knowledge Graph Embeddings at Scale, SIGIR'20, Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, ...
DGL is an easy-to-use, high performance and scalable Python package for deep learning on graphs. DGL is framework agnostic, meaning if a deep graph model is a component of an end-to-end application, the rest of the logics can be implemented in any major frameworks, such as PyTorch, Apa...
DGL is an easy-to-use, high performance and scalable Python package for deep learning on graphs. DGL is framework agnostic, meaning if a deep graph model is a component of an end-to-end application, the rest of the logics can be implemented in any major frameworks, such as PyTorch, Apa...