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Federated Node Classification over Graphs with Latent Link-type Heterogeneity

PubMed(2023)10.1145/3543507.3583471Source: DataRank Database

Federated Node Classification over Graphs with Latent Link-type Heterogeneity is a research paper published in PubMed (2023). On theSindex it has a DataRank of 0. It has been cited 20 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access20 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 4.34)OA: goldTopics (17)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Li Xiong ORCID,Carl Yang ORCID,Han Xie ORCID

Live enrichment

PubMed:39600887 PMC:PMC11590679 OpenAlex:https://openalex.org/W4367046855

NSF (National Science Foundation)

Grant: CNS-2124104, CNS-2125530

NIH (National Institutes of Health)

Grant: R01ES033241, R01LM013712

NIEHS NIH HHS

Grant: R01 ES033241

NLM NIH HHS

Grant: R01 LM013712

FWCI

4.34

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

goldLicense: https://www.acm.org/publications/policies/copyright_policy#Background

https://dl.acm.org/doi/pdf/10.1145/3543507.3583471

publisherhttps://dl.acm.org/doi/10.1145/3543507.3583471

publisherhttps://dl.acm.org/doi/abs/10.1145/3543507.3583471

https://doi.org/10.1145/3543507.3583471

Fields of Study

Privacy-Preserving Technologies in DataAdvanced Graph Neural NetworksInternet Traffic Analysis and Secure E-voting

Keywords

Link (geometry)Computer scienceNode (physics)Link analysisType (biology)Computer networkArtificial intelligenceInformation retrievalEngineeringClusteringGraph MiningGraph Neural NetworksFederated LearningLink-type Heterogeneity

Sustainable Development Goals

SDG 0: Partnerships for the goals