You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network.
Huaisheng ZhuXianfeng TangTianxiang ZhaoSuhang WangPublished in: PAKDD (2) (2023)
Keyphrases
- neural network
- graph structures
- graph representation
- global structure
- small world
- back propagation
- artificial neural networks
- random walk
- weighted graph
- graph structure
- graph model
- graph theoretic
- connected components
- directed graph
- graph matching
- prediction model
- graph theory
- neural network model
- graph clustering
- structured data
- pattern recognition
- topological information
- feed forward neural networks
- fully connected
- spanning tree
- network architecture
- graph mining
- hidden layer
- training process
- bipartite graph
- recurrent neural networks
- fault diagnosis
- binary images
- pairwise
- genetic algorithm