Interpretable Fine-Tuning for Graph Neural Network Surrogate Models.
Shivam BarweyRomit MaulikPublished in: CoRR (2023)
Keyphrases
- fine tuning
- neural network
- fine tune
- viable alternative
- back propagation
- artificial neural networks
- graph structure
- neural network is trained
- fine tuned
- directed graph
- graph theory
- graph representation
- graph model
- neural network model
- fuzzy logic
- radial basis function
- random walk
- dependency graph
- structured data
- self organizing maps
- feed forward neural networks
- multi layer
- weighted graph
- connected components
- bipartite graph
- recurrent neural networks
- graph matching
- feed forward
- directed acyclic graph
- graph mining
- graph theoretic
- graph construction
- neural nets
- general purpose