Search Results for author: Yassaman Ommi

Found 2 papers, 0 papers with code

CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation

no code implementations7 Oct 2021 Yassaman Ommi, Matin Yousefabadi, Faezeh Faez, Amirmojtaba Sabour, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

With an increase in the number of applications where data is represented as graphs, the problem of graph generation has recently become a hot topic.

Graph Generation

Deep Graph Generators: A Survey

no code implementations31 Dec 2020 Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Deep generative models have achieved great success in areas such as image, speech, and natural language processing in the past few years.

Graph Generation Graph Representation Learning

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