Random-Based and Deep Graph Generators: Evolution and Future Prospects Kohei WATABE
Publication: IEICE TRANSACTIONS on Communications Publication Date: 2024/12/01 Vol. E107-BNo. 12 ;
pp. 918-927 Type of Manuscript: INVITED PAPER (Special Section on Emerging Communication Technologies in Conjunction with Main Topics of ICETC 2023) Category: Keyword: graph generation, generative model, deep graph generator, graph feature, conditional generation,