Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks.

Yihan Wu Aleksandar Bojchevski Heng Huang

Published in: AAAI (2023)

Keyphrases

neural network
pattern recognition
graph theory
graph structure
genetic algorithm
random walk
weighted graph
graph model
edge weights
directed graph

bipartite graph
self organizing maps
fuzzy logic
artificial neural networks
multi agent
spanning tree
graph partitioning
fuzzy systems
weight update
multilayer perceptron

graph clustering
connected components
undirected graph
back propagation
graph representation
data mining
neural nets
dependency graph
rule extraction
decision trees

graph theoretic
weighting scheme
neural network model
graph mining
link analysis
feed forward
multi layer
graph matching
recurrent neural networks