Multilevel Graph Matching Networks for Deep Graph Similarity Learning is a research paper published in IEEE Transactions on Neural Networks and Learning Systems (2023). On theSindex it has a DataRank of 2.3. It has been cited 81 times, with 75 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.661
From this paper's citation signal
Citation Network Contribution
1.6
From 52 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 75 citers.
National Key Research and Development Program of China
Grant: 2020YFB1804705
NSFC
Grant: 61772466
NSFC
Grant: U1936215
Key Research and Development Program of Zhejiang Province
Grant: 2021C01036
Key Research and Development Program of Zhejiang Province
Grant: 2020C01021
Zhejiang Provincial Natural Science Foundation for Distinguished Young Scholars
Grant: LR19F020003
Major Scientific Project of Zhejiang Laboratory
Grant: 2018FD0ZX01
Fundamental Research Funds for the Central Universities
FWCI
6.86
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords