Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection
Abstract
In this paper, we introduce a novel and computationally efficient method for vertex embedding, community detection, and community size determination. Our approach leverages a normalized one-hot graph encoder and a rank-based cluster size measure. Through extensive simulations, we demonstrate the excellent numerical performance of our proposed graph encoder ensemble algorithm.
- Publication:
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arXiv e-prints
- Pub Date:
- January 2023
- DOI:
- arXiv:
- arXiv:2301.11290
- Bibcode:
- 2023arXiv230111290S
- Keywords:
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- Computer Science - Social and Information Networks;
- Computer Science - Machine Learning;
- Statistics - Machine Learning
- E-Print:
- 9 pages