Learning Graph Neural Networks with Approximate Gradient Descent

The dataset used in the paper is a graph neural network (GNN) dataset, where the goal is to learn a GNN with one hidden layer for node information convolution.

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Qunwei Li, Shaofeng Zou, Wenliang Zhong (2024). Dataset: Learning Graph Neural Networks with Approximate Gradient Descent. https://doi.org/10.57702/05isxbp4

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Author Qunwei Li
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Shaofeng Zou
Wenliang Zhong