DBScholar

Back to papers

Hypergraph Motifs: Concepts, Algorithms, and Discoveries

Summary: Introduces three-hyperedge hypergraph motifs and characteristic profiles, revealing domain-specific local structure and enabling cross-size comparison. MoCHy provides parallel exact/approximate counting, with MoCHy-A+ improving speed and accuracy substantially. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12301
Venue
VLDB
Year
2020
Pagerank
6.1546212e-05
Overall Rank
5,598 | 61.60%
DOI
10.14778/3407790.3407823

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lee_vldb20,
        title = {{Hypergraph Motifs: Concepts, Algorithms, and Discoveries}},
        author = {Lee, Geon and Ko, Jihoon and Shin, Kijung},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {11},
        pages = {2256--2269},
        doi = {10.14778/3407790.3407823},
        url = {https://doi.org/10.14778/3407790.3407823},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,916 Neighborhood-based Hypergraph Core Decomposition 2023 VLDB 6.4474058e-05
10,411 Triangle Counting in Hypergraph Streams: A Complete and Practical Approach 2026 SIGMOD 5.093636e-05
11,094 Efficient Computation of Hyper-triangles on Hypergraphs 2025 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers