Attacks on Node Attributes in Graph Neural Networks.
Ying XuMichael LanierAnindya SarkarYevgeniy VorobeychikPublished in: CoRR (2024)
Keyphrases
- neural network
- graph structure
- directed graph
- undirected graph
- pattern recognition
- finding the shortest path
- attributed graphs
- random walk
- root node
- countermeasures
- attribute values
- graph model
- concept lattice
- nodes of a graph
- betweenness centrality
- graph theory
- back propagation
- connected components
- leaf nodes
- artificial neural networks
- malicious nodes
- overlapping communities
- tree structure
- edge weights
- graph representation
- feed forward
- graph matching
- weighted graph
- neural network model
- neural nets
- bipartite graph
- structured data
- black hole
- graph clustering
- path length
- directed acyclic graph
- random graphs
- complex networks
- multilayer perceptron
- recurrent neural networks
- densely connected
- graph partitioning
- information security