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Found 2 papers, 2 papers with code
Graph Neural Networks Use Graphs When They Shouldn't
We analyze the implicit bias of gradient-descent learning of GNNs and prove that when the ground truth function does not use the graphs, GNNs are not guaranteed to learn a solution that ignores the graph, even with infinite data.
TREE-G: Decision Trees Contesting Graph Neural Networks
When dealing with tabular data, models based on decision trees are a popular choice due to their high accuracy on these data types, their ease of application, and explainability properties.
Ranked #1 on
Graph Classification
on HIV dataset
(Accuracy metric)
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