Prototype-Based Explanations for Graph Neural Networks (Student Abstract).
Yong-Min ShinSun-Woo KimEun-Bi YoonWon-Yong ShinPublished in: AAAI (2022)
Keyphrases
- neural network
- graph theory
- graphical representation
- learning environment
- artificial neural networks
- knowledge level
- pattern recognition
- graph structure
- spanning tree
- directed acyclic graph
- directed graph
- intelligent tutoring systems
- structured data
- back propagation
- graph representation
- training process
- weighted graph
- student model
- feed forward
- graph partitioning
- graph based algorithm
- neural network model
- high level
- learning process
- neural nets
- low level
- knn
- genetic algorithm
- high school students
- graph data
- learning algorithm
- undergraduate students
- graph theoretic
- graph model
- graph mining
- semi supervised
- higher level
- learning experience
- fault diagnosis
- radial basis function
- bipartite graph