Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily.
Xiaojun MaQin ChenYuanyi RenGuojie SongLiang WangPublished in: WWW (2022)
Keyphrases
- neural network
- artificial neural networks
- graph representation
- graph transformation
- global structure
- meta level
- edge weights
- graph model
- graph structure
- graph theoretic
- connected components
- structured data
- global consistency
- pattern recognition
- global information
- activation function
- social networks
- network model
- graph theory
- directed graph
- back propagation
- random walk
- network architecture
- bipartite graph
- graph matching
- feed forward
- feed forward neural networks
- hidden nodes
- fuzzy logic
- fermentation process