2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing
Zhe Zhou, Cong Li, Xuechao Wei +2
Recently, Graph Neural Networks (GNNs) have become state-of-the-art algorithms for analyzing non-euclidean graph data. However, to realize efficient GNN training is challenging, es…
cs.NI2018
EdgeFlow: Open-Source Multi-layer Data Flow Processing in Edge Computing for 5G and Beyond
Chao Yao, Xiaoyang Wang, Zijie Zheng +2
Edge computing has evolved to be a promising avenue to enhance the system computing capability by offloading processing tasks from the cloud to edge devices. In this paper, we prop…