Web: http://arxiv.org/abs/2209.09338

Sept. 22, 2022, 1:12 a.m. | S. Purchase, A. Zhao, R. D. Mullins

cs.LG updates on arXiv.org arxiv.org

Current graph representation learning techniques use Graph Neural Networks
(GNNs) to extract features from dataset embeddings. In this work, we examine
the quality of these embeddings and assess how changing them can affect the
accuracy of GNNs. We explore different embedding extraction techniques for both
images and texts. We find that the choice of embedding biases the performance
of different GNN architectures and thus the choice of embedding influences the
selection of GNNs regardless of the underlying dataset. In addition, …

arxiv graph graph neural networks networks neural networks

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