62 citations · 95 across the 19 of their papers we have counts for
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cs.DC2024
HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores
Zhonggen Li, Xiangyu Ke, Yifan Zhu +2
Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental operation in graph computing and analytics. However, the irregularity of real-world graphs poses significant challenges…
cs.DC2024
Accelerating Biclique Counting on GPU
Linshan Qiu, Zhonggen Li, Xiangyu Ke +2
Counting (p,q)-bicliques in bipartite graphs poses a foundational challenge with broad applications, from densest subgraph discovery in algorithmic research to personalized content…
cs.DC2024★ 1 cited
GPU-Accelerated Batch-Dynamic Subgraph Matching
Linshan Qiu, Lu Chen, Hailiang Jie +4
Subgraph matching has garnered increasing attention for its diverse real-world applications. Given the dynamic nature of real-world graphs, addressing evolving scenarios without in…