Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning.
Jun HuShengsheng QianQuan FangChangsheng XuPublished in: CoRR (2021)
Keyphrases
- neural network
- online learning
- learning algorithm
- random walk
- structural learning
- graph theoretic
- graph theory
- active learning
- directed graph
- connectionist systems
- learning capabilities
- bipartite graph
- learning systems
- genetic algorithm
- supervised learning
- prior knowledge
- graph model
- cascade correlation
- reinforcement learning
- feedforward neural networks
- pattern recognition
- learning process
- graph representation
- inductive inference
- adaptive learning
- weighted graph
- graph structure
- connected components
- structured data
- back propagation
- fuzzy logic
- learning tasks