Graph neural networks (GNNs) have shown great promise for representation learning on complex graph-structured data, but existing models often fall short when applied to directed heterogeneous graphs.
Here are the 13 datasets used in the clustering benchmark of MICA (https://github.com/jyyulab/MICA), the cell clustering engine of scMINER(https://github.com/jyyulab/scMINER). The first 10 datasets (Y