Meta-path-based heterogeneous graph neural networks in academic network.
Xingxing LiangYang MaGuangquan ChengChangjun FanYuling YangZhong LiuPublished in: Int. J. Mach. Learn. Cybern. (2022)
Keyphrases
- neural network
- network architecture
- citation networks
- pattern recognition
- network model
- complex networks
- graph transformation
- recurrent networks
- spanning tree
- fully connected
- radial basis function network
- hopfield networks
- random walk
- small world
- graph representation
- protein interaction networks
- artificial neural networks
- dynamic networks
- clustering coefficient
- spiking neural networks
- hopfield network
- neural network structure
- random graphs
- genetic algorithm
- graphical representation
- heterogeneous networks
- activation function
- graph model
- network structure
- recurrent neural networks
- network traffic
- computer networks
- peer to peer
- structured data
- overlapping communities
- community structure
- communication networks
- auto associative
- link prediction
- network size
- hopfield neural network
- graph theoretic