Theory and Applications of Graph Neural Networks in Knowledge Acquisition.
Lining YuanYang WangZhao LiuPublished in: MSIE (2020)
Keyphrases
- knowledge acquisition
- neural network
- knowledge base
- pattern recognition
- theoretical framework
- graph theory
- weighted graph
- random walk
- knowledge representation
- connected components
- artificial neural networks
- expert systems
- graph based algorithm
- artificial intelligence
- knowledge based systems
- bipartite graph
- feed forward
- graph mining
- self organizing maps
- fuzzy logic
- machine learning
- graph theoretic
- shortest path
- spanning tree
- ripple down rules
- directed acyclic graph
- graph matching
- reinforcement learning
- data mining