Community based node embeddings for networks

Meghashyam, P and Susheela Devi, V (2019) Community based node embeddings for networks. In: 26th International Conference on Neural Information Processing,, 12 - 15 December 2019, Sydney, pp. 380-387.

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Abstract

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.

Item Type:	Conference Paper
Publication:	Communications in Computer and Information Science
Publisher:	Springer
Additional Information:	The copyright for this article belongs to Springer.
Keywords:	Population dynamics, Community detection; Community detection algorithms; Community-based; Network embedding, Embeddings
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	02 Dec 2022 06:43
Last Modified:	02 Dec 2022 06:43
URI:	https://eprints.iisc.ac.in/id/eprint/78137

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