11 citations · 31 across the 19 of their papers we have counts for
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cs.DC2019★ 9 cited
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
Shengwen Liang, Ying Wang, Cheng Liu +3
Graph neural networks (GNNs) emerge as a powerful approach to process non-euclidean data structures and have been proved powerful in various application domains such as social netw…
cs.LG2019
Accelerating Generative Neural Networks on Unmodified Deep Learning Processors -- A Software Approach
Dawen Xu, Ying Wang, Kaijie Tu +3
Generative neural network is a new category of neural networks and it has been widely utilized in applications such as content generation, unsupervised learning, segmentation and p…