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Supplementary Material to " Topological Relational Learning on Graphs "
We use the same random seeds across all models (the experiments are repeated 5 times, each with the same random seed).
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.48)
Topological Relational Learning on Graphs
Graph neural networks (GNNs) have emerged as a powerful tool for graph classification and representation learning. However, GNNs tend to suffer from over-smoothing problems and are vulnerable to graph perturbations.
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