Dataset Groups Activity Stream 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. BibTex: @dataset{Jiaxuan_You_and_Rex_Ying_and_Xiang_Ren_and_William_Hamilton_and_Jure_Leskovec_2024, abstract = {The dataset used in the paper is not explicitly described, but it is mentioned that the authors evaluate CatFlow on a graph generation task.}, author = {Jiaxuan You and Rex Ying and Xiang Ren and William Hamilton and Jure Leskovec}, doi = {10.57702/3sj0m34e}, institution = {No Organization}, keyword = {'Auto-regressive Models', 'Graph Generation', 'Graph Neural Networks'}, month = {dec}, publisher = {TIB}, title = {Graphrnn: Generating realistic graphs with deep auto-regressive models}, url = {https://service.tib.eu/ldmservice/dataset/graphrnn--generating-realistic-graphs-with-deep-auto-regressive-models}, year = {2024} }
