ESCHER: Efficient and Scalable Hypergraph Evolution Representation with Application to Triad Counting
Published:Dec 24, 2025 07:13
•1 min read
•ArXiv
Analysis
This article introduces ESCHER, a new method for representing and analyzing evolving hypergraphs. The focus is on efficiency and scalability, particularly in the context of triad counting. The use of hypergraphs suggests a complex data structure, and the emphasis on scalability implies the method is designed for large datasets. The application to triad counting is a specific use case, likely demonstrating the practical utility of ESCHER.
Key Takeaways
- •ESCHER is a new method for representing and analyzing evolving hypergraphs.
- •The method prioritizes efficiency and scalability.
- •The application to triad counting demonstrates practical utility.
- •The research likely targets large datasets.
Reference
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