Community Based Node Embeddings for Networks

被引：0

作者：

Meghashyam, P. ^{[1
]}

Devi, V. Susheela ^{[2
]}

机构：

[1] Archeron Grp, Bengaluru, India

[2] Indian Inst Sci, Bengaluru, India

来源：

NEURAL INFORMATION PROCESSING (ICONIP 2019), PT IV | 2019年 / 1142卷

关键词：

Community detection; Node embeddings; Representation learning;

D O I：

10.1007/978-3-030-36808-1_41

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Network embedding has got enormous attention in recent past for their wide range of applications across different types of networks. This paper mainly includes a simple and novel model which is used for better node embeddings with respect to community detection in social networks. We use existing algorithms (mainly community detection algorithm) and Representation Learning (RL) techniques to find better embeddings that assist in better community detection.

引用

页码：380 / 387

页数：8

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