6 citations · 11 across the 2 of their papers we have counts for
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cs.LG2022★ 6 cited
SCGG: A Deep Structure-Conditioned Graph Generative Model
Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah +1
Deep learning-based graph generation approaches have remarkable capacities for graph data modeling, allowing them to solve a wide range of real-world problems. Making these methods…
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…