Graph Transformer: Learning Better Representations for Graph Neural Networks.
Boyuan WangLixin CuiLu BaiEdwin R. HancockPublished in: S+SSPR (2020)
Keyphrases
- neural network
- graph representation
- graph model
- learning systems
- bipartite graph
- fuzzy logic
- supervised learning
- random walk
- structured data
- error back propagation
- directed graph
- reinforcement learning
- fully connected
- feedforward neural networks
- graph theory
- graph structure
- weighted graph
- multi layer
- directed acyclic graph
- active learning
- learning capabilities
- pattern recognition
- genetic algorithm
- multiple representations
- equivalence classes
- graph partitioning
- undirected graph
- spanning tree
- expert systems
- neural nets
- graph matching
- feed forward
- learning tasks