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 reversible graph neural network model


main aim of our work is to develop reversible graph neural network models, called Graph Normalizing Flows (GNFs)

Neural Information Processing Systems

We thank the reviewers for their detailed comments. We are glad to see a generally positive assessment of our work. We will report larger-scale results in the final draft. Below, we address specific reviewer comments. When using 12G GPU machines, this difference is significant.