gCore: Exploring Cross-layer Cohesiveness in Multi-layer Graphs
Summary: Introduces gCore, a generalized core for arbitrary multi-layer graphs capturing intra- and cross-layer cohesiveness without assuming inter-layer constraints. Offers polynomial peeling for search and a compact KP-tree 'tree-of-trees' index with lossless compaction (elimination, transplant, merge) for efficient decomposition, indexing, and linear-time retrieval. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dandan Liu (Harbin Engineering University)
- 2. Zhaonian Zou (Harbin Engineering University)
BibTeX Citation
@article{liu_vldb23,
title = {{gCore: Exploring Cross-layer Cohesiveness in Multi-layer Graphs}},
author = {Liu, Dandan and Zou, Zhaonian},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {11},
pages = {3201--3213},
doi = {10.14778/3611479.3611519},
url = {https://doi.org/10.14778/3611479.3611519},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,504 | Enabling Window-Based Monotonic Graph Analytics with Reusable Transitional Results for Pattern-Consistent Queries | 2024 | VLDB | 5.4132367e-05 |
| 10,821 | Synergetic Community Search over Large Multilayer Graphs | 2025 | VLDB | 5.093636e-05 |
| 11,084 | Exploring Exploratory Querying | 2025 | 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 |
|---|---|---|---|---|
| 1,647 | Effective and Efficient Community Search over Large Heterogeneous Information Networks | 2020 | VLDB | 0.00010125633 |
| 2,321 | Effective and Efficient Relational Community Detection and Search in Large Dynamic Heterogeneous Information Networks | 2020 | VLDB | 8.7540322e-05 |
| 4,921 | Effective Community Search over Large Star-Schema Heterogeneous Information Networks | 2022 | VLDB | 6.4448544e-05 |
| 5,452 | FirmTruss Community Search in Multilayer Networks | 2023 | VLDB | 6.2138118e-05 |
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