Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels.
Jinliang YuanHualei YuMeng CaoJianqing SongJunyuan XieChongjun WangPublished in: Appl. Intell. (2023)
Keyphrases
- neural network
- labeled graphs
- noisy environments
- label noise
- graph model
- graph theory
- pattern recognition
- directed graph
- graph representation
- weighted graph
- graph theoretic
- graph matching
- minimum spanning tree
- graph clustering
- graph kernels
- graph mining
- graph construction
- label propagation
- graph theoretical
- graph transformation
- noisy measurements
- structural pattern recognition
- graph data
- spanning tree
- graph structure
- noisy data
- artificial neural networks
- pairwise
- random graphs
- graph databases
- graph structures
- topological information
- structured data
- adjacency graph
- knn
- social networks