89 citations · 93 across the 3 of their papers we have counts for
3 papers
cs.AI2021★ 3 cited
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
Zhe Zhou, Bizhao Shi, Zhe Zhang +3
In recent years, Graph Neural Networks (GNNs) appear to be state-of-the-art algorithms for analyzing non-euclidean graph data. By applying deep-learning to extract high-level repre…
cond-mat.mtrl-sci2016★ 1 cited
Perspectives of Racetrack Memory for Large-Capacity On-Chip Memory: From Device to System
Yue Zhang, Chao Zhang, Jiang Nan +6
Current-induced domain wall motion (CIDWM) is regarded as a promising way towards achieving emerging high-density, high-speed and low-power non-volatile devices. Racetrack memory i…
cs.DB2015★ 89 cited
NXgraph: An Efficient Graph Processing System on a Single Machine
Yuze Chi, Guohao Dai, Yu Wang +3
Recent studies show that graph processing systems on a single machine can achieve competitive performance compared with cluster-based graph processing systems. In this paper, we pr…