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Evolution Analysis of Large Graphs with Gradoop

Christopher Rost,Andreas Thor,Philip Fritzsche,Kevin Gomez,Erhard Rahm

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT I（2020）

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Abstract
The temporal analysis of evolving graphs is an important requirement in many domains. We are therefore extending the distributed graph analysis framework Gradoop and its graph data model to support temporal graph analysis. This paper contains an overview of our work in progress and an example use case from the financial domain demonstrating the flexibility of the temporal graph model and its operators.
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Key words
Temporal graph analysis,Distributed analytical workflow,Temporal Property Graph Model
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