Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks.
Indro SpinelliRiccardo BianchiniSimone ScardapanePublished in: Neural Networks (2023)
Keyphrases
- fine tuning
- neural network
- directed graph
- weighted graph
- spanning tree
- edge weights
- pattern recognition
- directed acyclic graph
- viable alternative
- undirected graph
- global consistency
- fine tune
- graph representation
- random walk
- spectral embedding
- bipartite graph
- neural network model
- structured data
- back propagation
- artificial neural networks
- massive graphs
- graph theoretic
- graph theory
- graph structure
- directed edges
- fuzzy logic
- vertex set
- graph model
- fault diagnosis
- neural nets
- multi layer
- activation function
- graph partitioning
- graph clustering
- random graphs
- graph mining
- recurrent neural networks
- feed forward
- edge detector
- graph based algorithm
- connected components
- game theory
- resource allocation
- genetic algorithm