FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
Yuwei Hu(University of Wisconsin–Madison), Yida Wang(Liaoning Meteorological Bureau), Da Zheng(Amazon (United States)), Mu Li(Beihang University), Zheng Zhang(Shanghai Jiao Tong University), Minjie Wang(Amazon (United States)), Zhiru Zhang(Cornell University), Zihao Ye(Zhejiang A & F University), Jiali Yu
Cited by 12
Related Papers
A Survey of Sparse Representation: Algorithms and Applications
|IEEE Access|2015|1.1k
TVM: an automated end-to-end optimizing compiler for deep learning
|Operating Systems Design and Implementation|2018|920
The efficacy of virtual reality exposure therapy for PTSD symptoms: A systematic review and meta-analysis
|Journal of Affective Disorders|2019|189
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
|arXiv (Cornell University)|2019|151
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
|arXiv (Cornell University)|2018|141