Exploiting Global Graph Homophily for Generalized Defense in Graph Neural Networks.
Duanyu LiHuijun WuMin XieXugang WuZhenwei WuWenzhe ZhangPublished in: CoRR (2024)
Keyphrases
- neural network
- structured data
- graph structure
- directed graph
- graph representation
- random walk
- dependency graph
- adjacency matrix
- neural nets
- directed acyclic graph
- graph model
- graph matching
- bipartite graph
- graph based algorithm
- global consistency
- random graphs
- stable set
- graph mining
- link analysis
- recurrent neural networks
- intrusion detection
- semi supervised
- social networks