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Explaining Graph Neural Networks with Mixed-Integer Programming

Neurocomputing(2025)10.1016/j.neucom.2025.130214Source: DataRank Database

Explaining Graph Neural Networks with Mixed-Integer Programming is a research paper published in Neurocomputing (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.00)OA: greenTopics (12)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Chunjiang Zhu ORCID,Jinbo Bi ORCID,Blake Blumenfeld Gaines ORCID

Live enrichment

PubMed:40453188 OpenAlex:https://openalex.org/W4409593366

National Institutes of Health

Grant: R01-DA051922

National Institutes of Health

Grant: U19-AI171421

NIMH NIH HHS

Grant: R01 MH119678

NIAID NIH HHS

Grant: U19 AI171421

NIDA NIH HHS

Grant: R01 DA051922

FWCI

0.00

Citation Percentile

0.0%

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12121959/

publisherhttps://api.elsevier.com/content/article/PII:S0925231225008860?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0925231225008860?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.neucom.2025.130214

Fields of Study

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine LearningAdvanced Graph Neural Networks

Keywords

Integer programmingComputer scienceGraphArtificial neural networkInteger (computer science)Theoretical computer scienceArtificial intelligenceAlgorithmProgramming language

Explaining Graph Neural Networks with Mixed-Integer Programming

FAIR Checklist

Authors (3)

Funding (5 grants)

Impact

Open Access

Topics