3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.DC2022
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
Yuanxing Zhang, Langshi Chen, Siran Yang +12
The development of personalized recommendation has significantly improved the accuracy of information matching and the revenue of e-commerce platforms. Recently, it has 2 trends: 1…
cs.DC2019★ 3 cited
A GraphBLAS Approach for Subgraph Counting
Langshi Chen, Jiayu Li, Ariful Azad +7
Subgraph counting aims to count the occurrences of a subgraph template T in a given network G. The basic problem of computing structural properties such as counting triangles and o…
cs.DC2018
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
Langshi Chen, Bo Peng, Sabra Ossen +4
Subgraph counting aims to count the number of occurrences of a subgraph T (aka as a template) in a given graph G. The basic problem has found applications in diverse domains. The p…