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,
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2023/05/01 Vol. E106-DNo. 5 ;
pp. 813-817 Type of Manuscript: Special Section LETTER (Special Section on Deep Learning Technologies: Architecture, Optimization, Techniques, and Applications) Category: Core Methods Keyword: Generative Adversarial Networks (GANs), wasserstein divergence, attention module, generative model,
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2018/04/01 Vol. E101-DNo. 4 ;
pp. 901-908 Type of Manuscript: Special Section PAPER (Special Section on Intelligent Information and Communication Technology and its Applications to Creative Activity Support) Category: Datamining Technologies Keyword: stock price prediction, news articles, deep learning, generative model,
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2010/07/01 Vol. E93-DNo. 7 ;
pp. 1976-1983 Type of Manuscript: PAPER Category: Natural Language Processing Keyword: word alignment, discriminative model, generative model, hybrid, SMT,