1 code implementation • 8 Sep 2023 • Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson
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.
1 code implementation • 6 Jul 2022 • Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
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)