Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

node2vec

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(2016)10.1145/2939672.2939754Source: DataRank Database

node2vec is a research paper published in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2016). On theSindex it has a DataRank of 1.4. It has been cited 10,779 times.

N/A

1.4DataRank · unranked

Scored on demand from live citation data

10,779 citations

Download PDF

Cite:

Linked data & code

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 1869.34)OA: closedTopics (17)Linked Datasets (25)DataCite Reuse (25)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (0/2)

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

1.4

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Authors (2)

Jure Leskovec ORCID,Aditya Grover ORCID

Live enrichment

PubMed:27853626 OpenAlex:https://openalex.org/W2962756421

National Science Foundation

Grant: 1010921

NetSE: Large: Collaborative Research:Contagion in Large Socio-Communication Networks

National Science Foundation

Grant: 1149837

CAREER: Mining structure and dynamics of groups of nodes in real-world networks

NIBIB NIH HHS

Grant: U54 EB020405

FWCI

1869.34

Citation Percentile

1.0%

Citation Trend

2012

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025

2026

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

publisherhttps://dl.acm.org/doi/10.1145/2939672.2939754

publisherhttps://dl.acm.org/doi/pdf/10.1145/2939672.2939754

https://doi.org/10.1145/2939672.2939754

https://europepmc.org/articles/pmc5108654?pdf=render

https://dx.doi.org/10.48550/arxiv.1607.00653

Fields of Study

Bioinformatics and Genomic Networks0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceSocial and Information Networks (cs.SI)FOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningComputer Science - Social and Information NetworksMachine Learning (stat.ML)Machine Learning (cs.LG)AlgorithmsExperimentationFeature learningGraph representationsInformation networksNode embeddings

Sustainable Development Goals

SDG 0: Sustainable cities and communities

Additional file 1 of Susceptible-infected-spreading-based network embedding in static and temporal networks

10.6084/m9.figshare.13114737.v1figshare

Additional file 1 of Susceptible-infected-spreading-based network embedding in static and temporal networks

10.6084/m9.figshare.13114737figshare

Additional file 10 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278425.v1figshare

Additional file 10 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278425figshare

Additional file 11 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278428.v1figshare

Additional file 11 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278428figshare

Additional file 14 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278440.v1figshare

Additional file 14 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278440figshare

Additional file 15 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278443.v1figshare

Additional file 15 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278443figshare

Additional file 17 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278449.v1figshare

Additional file 17 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278449figshare

Additional file 1 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278458.v1figshare

Additional file 1 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278458figshare

Additional file 21 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278464.v1figshare

Additional file 21 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278464figshare

Additional file 2 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278467.v1figshare

Additional file 2 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278467figshare

Additional file 3 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278470.v1figshare

Additional file 3 of gCAnno: a graph-based single cell type annotation method

10.6084/m9.figshare.13278470figshare

Related Papers (10)

DeepWalk

N/A

1.4DataRank · unranked

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining(2014)

co-cited

10.1145/2623330.2623732

SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation

N/A

8.0DataRank · unranked

Big Data Research(2021)

co-cited

10.1016/j.bdr.2020.100174

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

N/A

1.6DataRank · unranked

Proceedings of the National Academy of Sciences(2005)

co-cited

10.1073/pnas.0506580102

Highly accurate protein structure prediction with AlphaFold

N/A

1.6DataRank · unranked

Nature(2021)

co-cited

10.1038/s41586-021-03819-2

Open collaborative writing with Manubot

N/A

4.2DataRank · unranked

PLOS Computational Biology(2019)

co-cited

10.1371/journal.pcbi.1007128

Node connectivity measurements for Hetionet v1.0 metapaths

Top 78%

0.104DataRank

Zenodo (CERN European Organization for Nuclear Research)(2018)

co-cited

10.5281/zenodo.1435833

The FAIR Guiding Principles for scientific data management and stewardship

N/A

1.5DataRank · unranked

Scientific Data(2016)

co-cited

10.1038/sdata.2016.18

Integrating single-cell transcriptomic data across different conditions, technologies, and species

N/A

1.4DataRank · unranked

Nature Biotechnology(2018)

co-cited

10.1038/nbt.4096

Deep learning

N/A

1.7DataRank · unranked

Nature(2015)

co-cited

10.1038/nature14539

Evolutionary-scale prediction of atomic-level protein structure with a language model

N/A

1.3DataRank · unranked

Science(2023)

co-cited

10.1126/science.ade2574

node2vec

FAIR Checklist

DataRank Breakdown

Authors (2)

Funding (3 grants)

Impact

Open Access

Topics

Linked Datasets (25)

Related Papers (10)