Deep Graph Neural Networks with Shallow Subgraph Samplers.
Hanqing ZengMuhan ZhangYinglong XiaAjitesh SrivastavaRajgopal KannanViktor K. PrasannaLong JinAndrey MalevichRen ChenPublished in: CoRR (2020)
Keyphrases
- neural network
- graph mining
- graph databases
- graph data
- graph properties
- graph classification
- maximum weight
- subgraph isomorphism
- subgraph matching
- labeled graphs
- artificial neural networks
- random walk
- subgraph mining
- frequent subgraph mining
- multilayer perceptron
- bipartite graph
- natural language processing
- graph theory
- directed graph
- structured data
- information extraction
- graph search
- graph representation
- graph matching
- graph structure
- neural network model
- fuzzy logic
- dense subgraphs
- directed acyclic graph
- query graph
- graph patterns
- connected subgraphs
- graph model
- link analysis
- random sampling
- weighted graph
- bayesian inference
- connected components
- back propagation
- pattern recognition
- undirected graph
- spanning tree
- frequent subgraphs
- maximum clique
- maximum matching
- pattern mining
- np hard
- genetic algorithm