Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks.
Zihan LuoJianxun LianHong HuangHai JinXing XiePublished in: WSDM (2022)
Keyphrases
- neural network
- graph theory
- pattern recognition
- dynamic graph
- random walk
- back propagation
- fuzzy logic
- neural network model
- graph representation
- graph structure
- graph patterns
- data mining
- structured data
- pattern mining
- structural patterns
- semi supervised
- training patterns
- pattern discovery
- frequently occurring
- genetic algorithm
- weighted graph
- fuzzy systems
- graph mining
- graph data
- graph based algorithm
- power laws
- spanning tree
- graph databases
- interesting patterns
- bipartite graph
- neural nets
- recurrent neural networks
- graph matching
- radial basis function
- artificial neural networks
- web pages