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!
Hi there,
Thanks for putting
GraphSMOTEtogether, 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!