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ZENODO
Presentation . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Presentation . 2023
License: CC BY
Data sources: Datacite
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Scalability design in a graph database without losing performance

descriptionPublicationkeyboard_double_arrow_right Presentation 14 Apr 2023 English Publisher:Zenodo
Authors: Sun, Ricky;

doi: 10.5281/zenodo.7827268 , 10.5281/zenodo.7827267

Scalability design in a graph database without losing performance

Abstract

This is the main deck presenting Performance-oriented Design of Scalable Graph Design. Key contents in the deck include: 1. Background introduction & The convergence of AI and Big Data 2. Overall Graph Database Design Principles 3. Graph Storage, Compute and Query 4. Distributed Graph Optimization

Keywords

graph database, graph computing, scalable graph system design, HTAP, graph shard, GQL, knowledge graph

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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