Topology-Driven Edge Predictions with Graph Machine Learning for Optical Network Growth.
Akanksha AhujaSam Nallaperuma HerzbergAlbert RafelPaul WrightAndrew LordSeb J. SavoryPublished in: OFC (2024)
Keyphrases
- machine learning
- weighted graph
- fully connected
- small world
- edge weights
- optical networks
- undirected graph
- random graphs
- network structure
- complex networks
- wireless sensor networks
- peer to peer
- strongly connected
- graph representation
- spanning tree
- machine learning methods
- feature selection
- graph model
- network model
- computer networks
- graph theory
- directed graph
- structured data
- machine learning algorithms
- densely connected
- wdm networks
- neural network
- network configuration
- wavelength division multiplexing
- vertex set
- preferential attachment
- disjoint paths
- dynamic networks
- directed edges
- protein interaction networks
- path length
- graphical representation
- edge information
- online auctions
- graph structure
- wireless networks
- semi supervised learning
- edge detection
- information extraction
- bayesian networks
- data mining