Thank you for developing such nice framework. When I run the demo code of GAT at https://github.com/dmlc/dgl/tree/master/examples/pytorch/gat, I found that the dataset statistics are different from what are reported in the literature. For example, in , the reported edge numbers for Citeseer is 4732. However, the output of DGL is:
Finished data loading and preprocessing. NumNodes: 3327 NumEdges: 9228 NumFeats: 3703 NumClasses: 6 NumTrainingSamples: 120 NumValidationSamples: 500 NumTestSamples: 1000
I would greatly appreciate for any help. Thank you.
 Yang et al. Revisiting Semi-Supervised Learning with Graph Embeddings.