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Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2021)10.1109/tcbb.2021.3059415Source: DataRank Database

Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks is a research paper published in IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021). On theSindex it has a DataRank of 0. It has been cited 38 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access38 citations

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Linked data & code

Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 3.55)OA: hybridTopics (29)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (4)

Rui Li ORCID,Feng Cui ORCID,Anne R. Haake ORCID,Kishan KC ORCID

Live enrichment

PubMed:33587705 PMC:PMC8518029 OpenAlex:https://openalex.org/W3092790415

National Science Foundation

Grant: NSF-1062422

National Science Foundation

Grant: NSF-1850492

National Institutes of Health

Grant: GM116102

NIGMS NIH HHS

Grant: R15 GM116102

National Science Foundation

Grant: 1062422

ABI Innovation: Novel Methodology for Leveraging Metabolic Simulation to Improve Regulatory Reconstruction

National Science Foundation

Grant: 1850492

CRII: III: A Scalable Probabilistic Model Selection Method for Deep Learning in Gene-Protein Network Inference and Integration

FWCI

3.55

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

hybridLicense: cc-by

journalhttps://ieeexplore.ieee.org/ielx7/8857/4359833/09354550.pdf

publisherhttps://ieeexplore.ieee.org/ielx7/8857/4359833/09354550.pdf

publisherhttps://ieeexplore.ieee.org/ielam/8857/9747964/9354550-aam.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/8857/9747964/09354550.pdf?arnumber=9354550

journalhttps://doi.org/10.1109/tcbb.2021.3059415

Fields of Study

Computational Drug Discovery MethodsBioinformatics and Genomic NetworksAdvanced Graph Neural Networks0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

MeSH Terms

ProteinsCase-Control StudiesNeural Networks, Computer

Keywords

Computer scienceGraphInteraction networkInteraction informationSet (abstract data type)Artificial intelligenceFeature (linguistics)Convolutional neural networkBiological networkMachine learningTheoretical computer scienceBioinformaticsMathematicsBiologyFOS: Computer and information sciencesComputer Science - Machine LearningCase-Control StudiesProteinsNeural Networks, ComputerArticleMachine Learning (cs.LG)

Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks

10.48550/arxiv.2010.08516arXiv