3 papers
cs.LG2025
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…
cs.NI2025
Effective Delayed Patching for Transient Malware Control on Networks
Minh Phu Vuong, Chul-Ho Lee, Do Young Eun
Patching nodes is an effective network defense strategy for malware control at early stages, and its performance is primarily dependent on how accurately the infection propagation…
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…