Hello everybody,
For my research I would like to test my models and my training pipeline with a benchmark dataset with similar characteristics as my own dataset to be sure that the model architecture / training pipeline has no error bug. I looked into various torch_geometric.datasets but it is difficult to match what i need.
Does anybody knows about a benchmark dataset from torch geometric that matches these criterias?
node prediction, binary classes, high number of graphs