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Thanks for putting GraphSMOTE together, really cool code! Was wondering if there was support for heterogeneous graph neural networks as well. I'm currently training a heterogeneous GNN (using SageCONV) on a dataset for a multi class classification problem. I didn't see anything in the paper/repo about support for heterogeneous GNNs, and wanted to check here. Thanks again!
The text was updated successfully, but these errors were encountered:
Hi there,
Thanks for putting
GraphSMOTE
together, really cool code! Was wondering if there was support for heterogeneous graph neural networks as well. I'm currently training a heterogeneous GNN (usingSageCONV
) on a dataset for a multi class classification problem. I didn't see anything in the paper/repo about support for heterogeneous GNNs, and wanted to check here. Thanks again!The text was updated successfully, but these errors were encountered: