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20222025
most citedSDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks

3 citations · 3 across the 5 of their papers we have counts for

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cs.DC2025

Accelerating Sparse Matrix-Matrix Multiplication on GPUs with Processing Near HBMs

Shiju Li, Younghoon Min, Hane Yie +5

Sparse General Matrix-Matrix Multiplication (SpGEMM) is a fundamental operation in numerous scientific computing and data analytics applications, often bottlenecked by irregular me…

cs.LG2025

Demystifying Distributed Training of Graph Neural Networks for Link Prediction

Xin Huang, Chul-Ho Lee

Graph neural networks (GNNs) are powerful tools for solving graph-related problems. Distributed GNN frameworks and systems enhance the scalability of GNNs and accelerate model trai…