So, I could successfully convert my dataset into individual DGL graphs.
If I want to use heterograph, (https://docs.dgl.ai/api/python/batch_heterograph.html), the documentation says combine small graphs into one large one for message passing etc.
That raises two questions:
- How large can this “small graphs” be? For example, a few have 5 nodes, others have 10,000 nodes.
- Am I on the right path? I basically want to test different GNN architectures on my DGL graphs and measure their performance.
Thanks so much in advance.