Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yaowei Yan"'
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:2020-2032
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Random Walk is a basic algorithm to explore the structure of networks, which can be used in many tasks, such as local community detection and network embedding. Existing random walk methods are based on single networks that contain limited informatio
Publikováno v:
Knowledge and Information Systems. 62:2067-2101
Local community detection, which aims to find a target community containing a set of query nodes, has recently drawn intense research interest. The existing local community detection methods usually assume all query nodes are from the same community
Publikováno v:
ICDE
This study investigates name disambiguation for scholarly data. We propose a collective approach, which considers the connections of different ambiguous names, such that it initially treats each author reference as a unique author entity and reformul
Publikováno v:
KDD
Local community detection aims to find a set of densely-connected nodes containing given query nodes. Most existing local community detection methods are designed for a single network. However, a single network can be noisy and incomplete. Multiple n
Publikováno v:
Artificial Intelligence Review. 49:439-453
Boolean Satisfiability (SAT) is an important problem in many domains. Modern SAT solvers have been widely used in important industrial applications including automated planning and verification. To solve more problems in real applications, new techni
Publikováno v:
WWW
Detecting local graph clusters is an important problem in big graph analysis. Given seed nodes in a graph, local clustering aims at finding subgraphs around the seed nodes, which consist of nodes highly relevant to the seed nodes. However, existing l
Publikováno v:
ICDM
Local community detection, which aims to find a target community containing a set of query nodes, has recently drawn intense research interest. The existing local community detection methods usually assume all query nodes are from the same community
Autor:
Dongsheng Luo, Wei Fan, Xiong Yu, Jingchao Ni, Yaowei Yan, Xiang Zhang, Hongliang Fei, John Yen
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783319930398
PAKDD (3)
PAKDD (3)
Searching local graph clusters is an important problem in big network analysis. Given a query node in a graph, local clustering aims at finding a subgraph around the query node, which consists of nodes highly relevant to the query node. Existing loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae22b0ea3893d4eacf515b36ee5d44fe
https://doi.org/10.1007/978-3-319-93040-4_39
https://doi.org/10.1007/978-3-319-93040-4_39
Publikováno v:
Knowledge and Information Systems. 62:2103-2104