Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks.
Gabriele ImmordinoAndrea VaiusoAndrea Da RonchMarcello RighiPublished in: CoRR (2024)
Keyphrases
- structured data
- random walk
- graph structures
- graph theory
- semi structured
- network structure
- restricted boltzmann machine
- dynamic networks
- deep learning
- graph representation
- social networks
- average degree
- social graphs
- random graphs
- graph theoretic
- fully connected
- link formation
- graph layout
- neural network
- connected components
- network size
- weighted graph
- small world
- edge weights
- grid computing
- graph structure
- directed graph
- graph partitioning
- path length
- complex networks
- citation networks
- overlapping communities
- artificial neural networks
- network analysis