most citedGLEMOS: Benchmark for Instantaneous Graph Learning Model Selection

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cs.LG2024

Forward Learning of Graph Neural Networks

Namyong Park, Xing Wang, Antoine Simoulin +5

Graph neural networks (GNNs) have achieved remarkable success across a wide range of applications, such as recommendation, drug discovery, and question answering. Behind the succes…

cs.LG2024★ 1 cited

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection

Namyong Park, Ryan Rossi, Xing Wang +3

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…