Learning graph-level representation from local-structural distribution with Graph Neural Networks.
Wei-Xiang SunHui XuePublished in: Knowl. Based Syst. (2021)
Keyphrases
- graph representation
- neural network
- learning process
- graphical representation
- graph theory
- graph structure
- pattern recognition
- graph theoretic
- directed acyclic graph
- random walk
- learning systems
- weighted graph
- learning problems
- learning algorithm
- spectral decomposition
- structural learning
- neural nets
- probability distribution
- prior knowledge
- bipartite graph
- structural information
- learning tasks
- knowledge acquisition
- graph model
- graph partitioning
- learning rules
- online learning
- structural patterns
- artificial neural networks
- reinforcement learning
- connectionist systems