GNN Trainer

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Dataset information

Country of origin
Updated
2025.07.30 00:00
Created
2025.01.01
Available languages
English
Keywords
Quality scoring

Dataset description

This dataset bundles the graph descriptions, traffic matrices, routing paths, simulator settings and ground-truth performance metrics produced by BNNetSimulator for the gnntrainer project. It is intended as a compact testbed for researchers who want to train and validate Graph Neural Network models that predict end-to-end network behaviour across heterogeneous topologies and varied load patterns. This information can also be found in the next link, please check it for updates:  PREDICT 6G / GNN Trainer - GitLab (uc3m.es) This work has been funded by the European Commission Horizon Europe SNS JU PREDICT-6G (GA 101095890) Project.
European data infrastructure with broad catalog discovery, free evaluation access and production-grade API options.
190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
FAQ

Questions before production use

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Maintained APIs include update metadata where available. For production integrations, we can add history, monitoring and push updates so changes are easier to detect and act on.
Production APIs can add SLA, stable identifiers, versioning support, history, push updates and direct support around the data your product or AI workflow depends on.

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