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Graphrnn: Generating realistic graphs with deep auto-regressive models
The dataset used in the paper is not explicitly described, but it is mentioned that the authors evaluate CatFlow on a graph generation task. -
Variational Flow Matching for Graph Generation
The dataset used in the paper is not explicitly described, but it is mentioned that the authors evaluate CatFlow on three sets of experiments: abstract graph generation,... -
Synthetic Graphs
The dataset used in the paper is a synthetic graph generated using the Stochastic Block Model (SBM) with 10 classes and 100 nodes per class.
