GTCN: Dynamic Network Embedding Based on Graph Temporal Convolution Neural Network.
Zhichao HuangJingkuan ZhangLijia MaFubing MaoPublished in: ICIC (2) (2020)
Keyphrases
- neural network
- dynamic networks
- network model
- network architecture
- radial basis
- wavelet neural network
- bp network
- hopfield network
- growing neural gas
- back propagation
- elman network
- graph structure
- spiking neurons
- recurrent networks
- single layer
- graph embedding
- fully connected
- temporal data
- genetic algorithm
- image processing
- graph theory
- feed forward
- attack graph
- artificial neural networks
- temporal behavior
- spatio temporal
- wireless sensor networks
- random walk
- network structure
- temporal constraints
- bipartite graph
- graphical representation
- activation function
- multi layer
- random graphs
- dynamic graph
- neural network structure
- directed acyclic graph
- temporal patterns
- spanning tree
- structured data
- vector space
- edge weights
- complex networks
- weighted graph
- hopfield neural network
- link prediction