5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 5 cited
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation
Yassaman Ommi, Matin Yousefabadi, Faezeh Faez +3
Graph data structures are fundamental for studying connected entities. With an increase in the number of applications where data is represented as graphs, the problem of graph gene…
cs.LG2020
Deep Graph Generators: A Survey
Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah +1
Deep generative models have achieved great success in areas such as image, speech, and natural language processing in the past few years. Thanks to the advances in graph-based deep…