Poster Session after Researcher Development Course at University of Cambridge

A dataset of publicly available core network physical topologies

Topology-Driven Edge Predictions with Graph Machine Learning for Optical Network Growth: Graph representation learning on real-world optical core networks outperforms edge prediction heuristics by 10 times, achieving up to 93.4% accuracy on BT(UK), COST(EU), and CORONET(USA) by learning from 10% training data.

Optical Networks and Artificial Intelligence

A dataset of publicly available physical optical network connections (subsea cables)

A private dataset of telecom operator (British Telecommunication) core networks in the UK (contains only publicly released images)

A dataset of temporal, evolving and dynamic optical network topologies

A dataset of generated (simulated) physical optical network topologies using graph generative models

List of Software Tools and Packages Used in Network Topology Design, Monitoring, Visualisation and Optimisation in Industry and Academia

List of Software, Tools and Packages for Deep Learning, Graph Machine Learning, Graph Analysis, Graph Generation and Link Prediction