Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators
Author:
Affiliation:
1. Kim Jaechul Graduate School of AI, KAIST
2. Carnegie Mellon University,Heinz College of Information Systems and Public Policy
Funder
National Research Foundation of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10027565/10027596/10027731.pdf?arnumber=10027731
Reference24 articles.
1. How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
2. Divergence measures based on the Shannon entropy
3. Hnhn: Hypergraph networks with hyperedge neurons;dong;arXiv preprint arXiv 2006 12661,2020
4. Reciprocity in directed hypergraphs: Measures, findings, and generators (extended version);kim;arXiv preprint arXiv 2210 05328,2022
5. Statistical mechanics of complex networks
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