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Multi-Scale Structural Descriptors for Governance-Relevant Patterns in Data Lineage Graphs

Dineshkumar Malempati Hari
May 10, 2026
Published Date

Research Abstract & Technology Focus

Code, anonymized data, and experiment scripts for computing multi-scale structural descriptors (community stability, blast-radius concentration, spectral gap, persistent homology) on data lineage graphs. Includes validation on 32 graphs from four sources: WfCommons scientific workflows, DLG-DG-23 Huawei Cloud lineage graphs, DW-Bench warehouse schemas, and a production dbt manifest.
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Correlated Market Trend: Artificial Intelligence

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Frequently Asked Questions (FAQ)

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What is the core focus of the research titled 'Multi-Scale Structural Descriptors for Governance-Relevant Patterns in Data Lineage Graphs'?

This literature focuses on: Code, anonymized data, and experiment scripts for computing multi-scale structural descriptors (community stability, blast-radius concentration, spectral gap, persistent homology) on data lineage graphs. Includes validation on 32 graphs from four ...

Are there commercial applications of 'Multi-Scale Structural Descriptors for Governance-Relevant Patterns in Data Lineage Graphs' in market news publications?

Yes, highly correlated activity was mapped. An entry titled 'Neo4j' discusses this: Neo4j is expanding its technical utility, serving as a core component for ETL pipelines, specialized knowledge graphs in neuroscience, and advanced...

What other academic literature is closely related to 'Multi-Scale Structural Descriptors for Governance-Relevant Patterns in Data Lineage Graphs'?

Yes, highly correlated activity was mapped. An entry titled 'KEGG: biological systems database as a model of the real world' discusses this: Abstract KEGG (https://www.kegg.jp/) is a database resource for representation and analysis of biological systems. Pathway maps are ...

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