Hypergraph Motifs: Concepts, Algorithms, and Discoveries
Summary: Defines hypergraph motifs (h-motifs) and a significance framework based on randomized hypergraphs to capture local connectivity among three connected hyperedges, yielding a domain-distinctive characteristic profile (CP). Introduces MoCHy, a parallel motif-counting family with MoCHy-A+ that achieves up to 25x accuracy and 32x speed over exact and basic approximate methods, enabling cross-domain hypergraph analysis. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Geon Lee
- 2. Jihoon Ko
- 3. Kijung Shin
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,589 | Neighborhood-based Hypergraph Core Decomposition | 2023 | VLDB | 5.4216989e-05 |
| 10,123 | Triangle Counting in Hypergraph Streams: A Complete and Practical Approach | 2026 | SIGMOD | 4.1945683e-05 |
| 10,871 | Efficient Computation of Hyper-triangles on Hypergraphs | 2025 | VLDB | 4.1945683e-05 |
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 589 | Massive Graph Triangulation | 2013 | SIGMOD | 0.00019576567 |
| 1,740 | A General Framework for Estimating Graphlet Statistics via Random Walk | 2017 | VLDB | 0.0001071792 |
| 3,410 | Motivo: fast motif counting via succinct color coding and adaptive sampling | 2019 | VLDB | 7.1253867e-05 |
| 3,534 | OPT: A New Framework for Overlapped and Parallel Triangulation in Large-scale Graphs | 2014 | SIGMOD | 6.9997025e-05 |
| 4,879 | Approximately Counting Triangles in Large Graph Streams Including Edge Duplicates with a Fixed Memory Usage | 2018 | VLDB | 5.8575676e-05 |
| 4,898 | On Sampling from Massive Graph Streams | 2017 | VLDB | 5.8459467e-05 |
| 5,017 | TurboGraph++: A Scalable and Fast Graph Analytics System | 2018 | SIGMOD | 5.7574792e-05 |
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