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LinkBlackHole: Robust Overlapping Community Detection Using Link Embedding

Research article (IEEE Transactions on Knowledge and Data Engineering, 2018) · cited 23× · AI/ML
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LinkBlackHole: Robust Overlapping Community Detection Using Link Embedding

Summary

LinkBlackHole: Robust Overlapping Community Detection Using Link Embedding is a scholarly article[1].

Key Facts

  • LinkBlackHole: Robust Overlapping Community Detection Using Link Embedding's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). LinkBlackHole: Robust Overlapping Community Detection Using Link Embedding. Retrieved May 24, 2026, from https://4ort.xyz/entity/linkblackhole-robust-overlapping-community-detection-using-link-embedding
MLA “LinkBlackHole: Robust Overlapping Community Detection Using Link Embedding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/linkblackhole-robust-overlapping-community-detection-using-link-embedding.
BibTeX @misc{4ortxyz_linkblackhole-robust-overlapping-community-detection-using-link-embedding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LinkBlackHole: Robust Overlapping Community Detection Using Link Embedding}}, year = {2026}, url = {https://4ort.xyz/entity/linkblackhole-robust-overlapping-community-detection-using-link-embedding}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LinkBlackHole: Robust Overlapping Community Detection Using Link Embedding — https://4ort.xyz/entity/linkblackhole-robust-overlapping-community-detection-using-link-embedding (retrieved 2026-05-24)

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