🧪 Test?View on arXiv
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering
Author1, Author2, Author3, Author4, Author5
community detectiongraph representation learninghierarchical clustering
2303.12212
Builder Relevance
2h ago70%
Abstract
This paper presents three new hierarchical frameworks for community detection in complex networks.
Reality Card
Core Claim
The proposed frameworks outperform state-of-the-art algorithms while providing hierarchical outputs of nested partitions.
Method / Result
Achieved competitive performance with the best pipelines on 364 module combinations.
Limitations
The time complexity limits the framework's application to networks of around 10,000 vertices on personal machines.
Paper to code
Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.
No verified implementation link has been attached yet. AIBuzzHub will keep this panel separate from unverified search results.