GOAt: Explaining Graph Neural Networks via Graph Output Attribution.
Shengyao LuKeith G. MillsJiao HeBang LiuDi NiuPublished in: ICLR (2024)
Keyphrases
- neural network
- graph representation
- directed graph
- random walk
- stable set
- graph theory
- graph theoretic
- graph structure
- graphical models
- pattern recognition
- bipartite graph
- directed acyclic graph
- graph model
- spanning tree
- data sets
- semi supervised
- graph based algorithm
- graph search
- graph construction
- minimum spanning tree
- graphical representation
- machine learning
- weighted graph
- genetic algorithm
- neural nets
- graph matching
- neural network model
- structured data
- artificial neural networks
- sufficient conditions