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pro vyhledávání: '"Nie, Changli"'
Heterogeneous graphs have attracted a lot of research interests recently due to the success for representing complex real-world systems. However, existing methods have two pain points in embedding them into low-dimensional spaces: the mixing of struc
Externí odkaz:
http://arxiv.org/abs/2406.10367
Publikováno v:
WWW '23: Proceedings of the ACM Web Conference 2023 (523-532)
Temporal link prediction, aiming to predict future edges between paired nodes in a dynamic graph, is of vital importance in diverse applications. However, existing methods are mainly built upon uniform Euclidean space, which has been found to be conf
Externí odkaz:
http://arxiv.org/abs/2304.07302
Publikováno v:
The Semantic Web-ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings (pp. 179-195)
Temporal heterogeneous information network (temporal HIN) embedding, aiming to represent various types of nodes of different timestamps into low dimensional spaces while preserving structural and semantic information, is of vital importance in divers
Externí odkaz:
http://arxiv.org/abs/2304.06970
Temporal heterogeneous information network (temporal HIN) embedding, aiming to represent various types of nodes of different timestamps into low dimensional spaces while preserving structural and semantic information, is of vital importance in divers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08bdc0beec76d2707cac38b6f4d5a64e
http://arxiv.org/abs/2304.06970
http://arxiv.org/abs/2304.06970
Autor:
Nie Changli
Publikováno v:
Chinese Nursing Research; Apr2014, Vol. 28 Issue 4C, p1484-1485, 2p