On Analyzing Graphs with Motif-Paths
Summary: Motif-paths, concatenations of motif instances, offer high-order structure for graph analysis beyond traditional edge-based approaches. The work applies motif-paths to link prediction, local clustering, and node ranking, and introduces a defragmentation method to connect previously disconnected motif-paths, with experiments on real graphs showing improved effectiveness. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Xiaodong Li (University of Hong Kong)
- 2. Reynold Cheng (University of Hong Kong)
- 3. Kevin Chen-Chuan Chang (University of Illinois Urbana-Champaign)
- 4. Caihua Shan (University of Hong Kong)
- 5. Chenhao Ma (University of Hong Kong)
- 6. Hongtai Cao (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{li_vldb21,
title = {{On Analyzing Graphs with Motif-Paths}},
author = {Li, Xiaodong and Cheng, Reynold and Chang, Kevin Chen-Chuan and Shan, Caihua and Ma, Chenhao and Cao, Hongtai},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {6},
pages = {1111--1123},
doi = {10.14778/3447689.3447714},
url = {https://doi.org/10.14778/3447689.3447714},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,148 | Finding Locally Densest Subgraphs: A Convex Programming Approach | 2022 | VLDB | 7.707548e-05 |
| 4,903 | A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery | 2022 | SIGMOD | 6.4520708e-05 |
| 7,354 | DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection | 2022 | VLDB | 5.6348348e-05 |
| 8,019 | Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks | 2024 | VLDB | 5.5062157e-05 |
| 11,226 | ZeroEA: A Zero-Training Entity Alignment Framework via Pre-Trained Language Model | 2024 | VLDB | 5.093636e-05 |
| 11,346 | MOSER: Scalable Network Motif Discovery using Serial Test | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 189 | Querying K-Truss Community in Large and Dynamic Graphs | 2014 | SIGMOD | 0.00026114928 |
| 273 | Online Search of Overlapping Communities | 2013 | SIGMOD | 0.00022671795 |
| 1,378 | Effective Community Search over Large Spatial Graphs | 2017 | VLDB | 0.00010971508 |
| 1,958 | A General Framework for Estimating Graphlet Statistics via Random Walk | 2017 | VLDB | 9.4093057e-05 |
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