Collaborative Graph Neural Networks for Attributed Network Embedding.
Qiaoyu TanXin ZhangXiao HuangHao ChenJundong LiXia HuPublished in: IEEE Trans. Knowl. Data Eng. (2024)
Keyphrases
- neural network
- network architecture
- pattern recognition
- random walk
- graph embedding
- network model
- dynamic networks
- path length
- small world
- hopfield network
- network structure
- artificial neural networks
- fully connected
- scale free
- graph representation
- peer to peer
- graph structure
- knowledge sharing
- computer networks
- graph theory
- network traffic
- directed graph
- random graphs
- hopfield networks
- graphical representation
- network configuration
- back propagation
- vector space
- neural network structure
- recurrent neural networks
- recurrent networks
- spectral embedding
- citation networks
- clustering coefficient
- overlapping communities
- finding the shortest path
- hopfield neural network
- radial basis function network
- spanning tree
- graph model
- weighted graph
- feed forward
- neural network model
- fuzzy logic
- wireless sensor networks
- genetic algorithm