17 citations · 24 across the 7 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
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…
cs.AI2020
Improving the Performance of Stochastic Local Search for Maximum Vertex Weight Clique Problem Using Programming by Optimization
Yi Chu, Chuan Luo, Holger H. Hoos +2
The maximum vertex weight clique problem (MVWCP) is an important generalization of the maximum clique problem (MCP) that has a wide range of real-world applications. In situations…