Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Zhizhi Yu"'
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 35:3925-3937
Heterogeneous information network (HIN) embedding, aiming to map the structure and semantic information in a HIN to distributed representations, has drawn considerable research attention. Graph neural networks for HIN embeddings typically adopt a hie
Publikováno v:
Knowledge and Information Systems. 65:613-640
Social Internet of Things (SIoT), a promising and emerging paradigm that injects the notion of social networking into smart objects (i.e., things), paving the way for the next generation of Internet of Things. However, due to the risks and uncertaint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::268899fe2073cd40042456d981a9ec9f
http://arxiv.org/abs/2302.11396
http://arxiv.org/abs/2302.11396
Publikováno v:
Proceedings of the ACM Web Conference 2022.
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Publikováno v:
WSDM
Graph convolutional networks (GCNs), aiming to obtain node embeddings by integrating high-order neighborhood information through stacked graph convolution layers, have demonstrated great power in many network analysis tasks such as node classificatio
Autor:
Jia Wu, Di Jin, Dongxiao He, Zhizhi Yu, Philip S. Yu, Pengfei Jiao, Shirui Pan, Weixiong Zhang
Community detection, a fundamental task for network analysis, aims to partition a network into multiple sub-structures to help reveal their latent functions. Community detection has been extensively studied in and broadly applied to many real-world n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d668cc12c617d10dd445687dcf2008a7
http://arxiv.org/abs/2101.01669
http://arxiv.org/abs/2101.01669
Publikováno v:
IJCAI
Scopus-Elsevier
Scopus-Elsevier
Community detection, aiming at partitioning a network into multiple substructures, is practically importance. Graph convolutional network (GCN), a new deep-learning technique, has recently been developed for community detection. Markov Random Fields
Publikováno v:
Medicine
Supplemental Digital Content is available in the text
Background: Published findings on perinatal outcomes of multifetal pregnancy reduction (MPR) of dichorionic diamniotic (DCDA) twin pregnancy to singleton are controversial. We performed a met
Background: Published findings on perinatal outcomes of multifetal pregnancy reduction (MPR) of dichorionic diamniotic (DCDA) twin pregnancy to singleton are controversial. We performed a met