GOAt: Explaining Graph Neural Networks via Graph Output Attribution.

Shengyao Lu Keith G. Mills Jiao He Bang Liu Di Niu

Published 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