Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar.
Benjamin ZalatanMaryam RahnemoonfarPublished in: CoRR (2023)
Keyphrases
- prediction accuracy
- automatic target recognition
- fully connected
- average degree
- recurrent networks
- social networks
- dynamic networks
- community discovery
- spatial and temporal
- connected components
- neural network ensemble
- radar data
- small world
- weighted graph
- graph structure
- graph theory
- prediction model
- recurrent neural networks
- solar radiation
- structured data
- neural network
- random walk
- signal processing
- remotely sensed
- directed edges
- graph layout
- target recognition
- infrared
- graph structures
- edge weights
- graph representation
- social network analysis
- network structure
- feed forward
- overlapping communities
- bipartite graph
- complex networks
- social graphs
- betweenness centrality
- directed graph
- random graphs
- network analysis
- citation networks
- graph model
- network architecture
- path length