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

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

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cs.LG2025

FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance

Minh Phu Vuong, Young-Ju Lee, Iván Ojeda-Ruiz +1

Due to the growing concern about unsavory behaviors of machine learning models toward certain demographic groups, the notion of 'fairness' has recently drawn much attention from th…

cs.LG2024★ 3 cited

SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks

Xin Huang, Weipeng Zhuo, Minh Phu Vuong +4

Recently, distributed GNN training frameworks, such as DistDGL and PyG, have been developed to enable training GNN models on large graphs by leveraging multiple GPUs in a distribut…