Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach.
Kai ZhaoQiyu KangYang SongRui SheSijie WangWee Peng TayPublished in: NeurIPS (2023)
Keyphrases
- neural network
- artificial neural networks
- fuzzy logic
- graph theory
- random walk
- structured data
- directed graph
- graph model
- training process
- graph structure
- multilayer perceptron
- graph matching
- neural network model
- graph representation
- associative memory
- network architecture
- bayesian networks
- multi layer
- recurrent neural networks
- spanning tree
- graph theoretic
- dependency graph
- graph based algorithm
- graph mining
- bipartite graph
- connected components
- fault diagnosis
- np complete
- feature selection
- search engine