no code implementations • 16 Oct 2021 • Alice Gatti, Zhixiong Hu, Tess Smidt, Esmond G. Ng, Pieter Ghysels
The embedding phase is trained first by minimizing a loss function inspired by spectral graph theory.
1 code implementation • 8 Apr 2021 • Alice Gatti, Zhixiong Hu, Tess Smidt, Esmond G. Ng, Pieter Ghysels
The partitioning quality is compared with partitions obtained using METIS and SCOTCH, and the nested dissection ordering is evaluated in the sparse solver SuperLU.
no code implementations • 27 Mar 2018 • Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
We present memory-efficient and scalable algorithms for kernel methods used in machine learning.