Decoupling the Depth and Scope of Graph Neural Networks.
Hanqing ZengMuhan ZhangYinglong XiaAjitesh SrivastavaAndrey MalevichRajgopal KannanViktor K. PrasannaLong JinRen ChenPublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- graph structure
- graph representation
- back propagation
- graph search
- graph theoretic
- random walk
- input output
- connected components
- fuzzy logic
- graph matching
- artificial neural networks
- bipartite graph
- multilayer perceptron
- graph partitioning
- directed acyclic graph
- graph theory
- fault diagnosis
- depth information
- recurrent neural networks
- graph mining
- graph model
- data sets
- directed graph
- structured data
- graph based algorithm