2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Accelerating Storage-Based Training for Graph Neural Networks
Myung-Hwan Jang, Jeong-Min Park, Yunyong Ko +1
Graph neural networks (GNNs) have achieved breakthroughs in various real-world downstream tasks due to their powerful expressiveness. As the scale of real-world graphs has been con…
cs.DS2023★ 2 cited
SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication
Myung-Hwan Jang, Yunyong Ko, Hyuck-Moo Gwon +3
Sparse generalized matrix-matrix multiplication (SpGEMM) is a fundamental operation for real-world network analysis. With the increasing size of real-world networks, the single-mac…