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A Graph Database for a Virtualized Network Infrastructure

Summary: Nepal: a model-driven, strongly-typed graph database for SDN/NFV networks and topology. Layered topology (VNFs to hardware), first-class graph path queries, time-travel support for past states, and a layer-over-DB architecture enabling abstraction and flexible labeling. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5487
Venue
SIGMOD
Year
2018
Pagerank
4.8154459e-05
Overall Rank
7,139 | 50.39%
DOI
10.1145/3183713.3190653

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,553 Reliable Data Distillation on Graph Convolutional Network 2020 SIGMOD 5.0100594e-05
11,431 Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality 2021 CIDR 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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