Decoupling the Depth and Scope of Graph Neural Networks.
Hanqing ZengMuhan ZhangYinglong XiaAjitesh SrivastavaAndrey MalevichRajgopal KannanViktor K. PrasannaLong JinRen ChenPublished in: NeurIPS (2021)
Keyphrases
- neural network
- graph representation
- pattern recognition
- input output
- random walk
- graph theory
- graph matching
- graph structure
- depth map
- depth information
- graph model
- multi layer
- artificial neural networks
- directed graph
- decision trees
- bipartite graph
- graph structures
- graph databases
- data sets
- neural nets
- associative memory
- feed forward
- neural network model
- connected components
- structured data
- back propagation
- genetic algorithm