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POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution

PubMed(2025)10.1145/3748636.3762775Source: DataRank Database

POIFormer: A Transformer-Based Framework for Accurate and Scalable Point-of-Interest Attribution is a research paper published in PubMed (2025). On theSindex it has a DataRank of 0.

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Scored on demand from live citation data

Open Access0 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 0.00)OA: goldTopics (14)IDs (PubMed, PMC, OpenAlex)

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 (6)

Shang-Ling Hsu ORCID,Martin Shetty ORCID,Omar Alkhadra ORCID,Cyrus Shahabi ORCID,Abigail L. Horn ORCID

Live enrichment

PubMed:41972096 PMC:PMC13070009 OpenAlex:https://openalex.org/W4417283681

NSF

Grant: CNS-2427150

NSF

Grant: CNS-2125530

NSF

Grant: DMS-2428039

NIH

Grant: R01LM014026

FWCI

0.00

Citation Percentile

0.4%

goldLicense: cc-by

https://dl.acm.org/doi/pdf/10.1145/3748636.3762775

https://doi.org/10.1145/3748636.3762775

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41972096

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC13070009/

Fields of Study

Human Mobility and Location-Based AnalysisData Management and AlgorithmsOpportunistic and Delay-Tolerant Networks

Keywords

Point of interestScalabilitySet (abstract data type)Kernel density estimationUrban computingGlobal Positioning SystemGeneralizationTask (project management)TransformersMobility ModelingPoint-Of-Interest Attribution