Finding benchmark dataset - node prediction + binary classes + high number of graphs

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

I found the PATTERN datasets from the GNNBenchmarkDataset from pytorch geometric that matches my criterias