Scalable Graph Neural Networks via Bidirectional Propagation.
Ming ChenZhewei WeiBolin DingYaliang LiYe YuanXiaoyong DuJi-Rong WenPublished in: CoRR (2020)
Keyphrases
- neural network
- artificial neural networks
- random walk
- graph theory
- graph representation
- directed graph
- graph structure
- weighted graph
- back propagation
- neural nets
- feed forward
- directed acyclic graph
- pattern recognition
- wave propagation
- genetic algorithm
- multi layer
- bipartite graph
- network architecture
- memory efficient
- global consistency
- structured data
- fuzzy logic
- search engine
- neural network model
- connected components
- self organizing maps
- graph model
- lightweight
- spanning tree
- activation function
- graph theoretic
- graph data
- web scale
- bayesian networks
- learning algorithm
- information propagation