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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)

Paper ID
h51892d8d20da37b7
Venue
VLDB
Year
2023
Pagerank
5.6946659e-05
Overall Rank
6,727 | 54.78%
DOI
10.14778/3611479.3611519

Incoming Non-self Citations Over Time

Authors

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}
}

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