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Apr, 2024
GLEMOS: 即时图学习模型选择的基准
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
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Namyong Park, Ryan Rossi, Xing Wang, Antoine Simoulin, Nesreen Ahmed...
TL;DR
通过设计高效的模型选择方法,研究了图学习模型的选择问题,并提供了一套全面的基准数据和评估环境用于评估模型在链接预测和节点分类等任务上的表现。
Abstract
The choice of a
graph learning
(GL) model (i.e., a
gl algorithm
and its hyperparameter settings) has a significant impact on the performance of downstream tasks. However, selecting the right
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