2 citations · 5 across the 4 of their papers we have counts for
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cs.DS2020★ 2 cited
Fast and Efficient Parallel Breadth-First Search with Power-law Graph Transformation
Zite Jiang, Tao Liu, Shuai Zhang +3
In the big data era, graph computing is widely used to exploit the hidden value in real-world graphs in various scenarios such as social networks, knowledge graphs, web searching,…
cs.DC2020★ 1 cited
An Efficient and Balanced Graph Partition Algorithm for the Subgraph-Centric Programming Model on Large-scale Power-law Graphs
Shuai Zhang, Zite Jiang, Xingzhong Hou +3
The subgraph-centric programming model is a promising approach and has been applied in many state-of-the-art distributed graph computing frameworks. However, traditional graph part…