Hi everyone,
I’m working on a task to classify the types of relationships between nodes in a graph, but my issue is that I only have a single graph. I understand I need to split the graph into train, validation, and test sets, but I’m concerned about overfitting since I’m working with just one graph.
I’ve been considering using samplers to mitigate this, but I’m unsure if this would truly solve the problem. Are there any other strategies I could apply to address this and better evaluate my model?