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NED: An Inter-Graph Node Metric Based On Edit Distance

Summary: NED measures inter-graph node similarity from local unordered k-neighborhoods. TED* provides a poly-time, metric distance for unordered/unlabeled trees, enabling efficient indexing and transfer-learning in inter-graph analysis, with empirical validation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11752
Venue
VLDB
Year
2017
Pagerank
5.093636e-05
Overall Rank
12,021 | 17.53%
DOI
10.14778/3055330.3055336

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BibTeX Citation

@article{zhu_vldb17,
        title = {{NED: An Inter-Graph Node Metric Based On Edit Distance}},
        author = {Zhu, Haohan and Meng, Xianrui and Kollios, George},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {6},
        doi = {10.14778/3055330.3055336},
        url = {https://doi.org/10.14778/3055330.3055336},
        year = {2017}
}

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