Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation

Yiran Li, Renchi Yang, Jieming Shi

Research output: Journal article publication › Conference article › Academic research › peer-review

Original language	English
Article number	116
Pages (from-to)	1–23
Number of pages	23
Journal	Proceedings of the ACM SIGMOD International Conference on Management of Data
Volume	1
Issue number	2
DOIs	https://doi.org/10.1145/3589261
Publication status	Published - 20 Jun 2023

More information

@article{99aca39808f04e8080acccef91f881b5,

title = "Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation",

author = "Yiran Li and Renchi Yang and Jieming Shi",

year = "2023",

month = jun,

day = "20",

doi = "10.1145/3589261",

language = "English",

volume = "1",

pages = "1–23",

journal = "Proceedings of the ACM SIGMOD International Conference on Management of Data",

issn = "0730-8078",

number = "2",

}

TY - JOUR

T1 - Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation

AU - Li, Yiran

AU - Yang, Renchi

AU - Shi, Jieming

PY - 2023/6/20

Y1 - 2023/6/20

U2 - 10.1145/3589261

DO - 10.1145/3589261

M3 - Conference article

SN - 0730-8078

VL - 1

SP - 1

EP - 23

JO - Proceedings of the ACM SIGMOD International Conference on Management of Data

JF - Proceedings of the ACM SIGMOD International Conference on Management of Data

IS - 2

M1 - 116

ER -