Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks.
Indro SpinelliRiccardo BianchiniSimone ScardapanePublished in: CoRR (2023)
Keyphrases
- fine tuning
- neural network
- weighted graph
- directed graph
- undirected graph
- spanning tree
- edge weights
- directed acyclic graph
- viable alternative
- fine tune
- global consistency
- resource allocation
- random walk
- vertex set
- fine tuned
- graph partitioning
- pattern recognition
- artificial neural networks
- structured data
- graph matching
- fuzzy logic
- neural network model
- graph representation
- nodes of a graph
- graph structure
- massive graphs
- game theory
- graph theoretic
- training process
- feed forward
- recurrent neural networks
- self organizing maps
- graph model
- back propagation
- graph mining
- associative memory
- spectral embedding
- maximum matching
- directed edges
- bipartite graph