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Jun, 2023
arXiv4TGC:大规模时序图聚类数据集
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering
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Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou...
TL;DR
本篇论文提出了一种解决大规模时间图聚类评估的挑战的方法——构建一个包含多个学术数据集的arXiv4TGC数据集,并与先前的经典数据集和本论文提出的新数据集进行比较,以提高不同模型的聚类表现和适用于大规模时间图聚类的可行性。
Abstract
temporal graph clustering
(TGC) is a crucial task in temporal graph learning. Its focus is on
node clustering
on temporal graphs, and it offers greater flexibility for large-scale graph structures due to the mech
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