Unsupervised pre-training of graph transformers on patient population graphs.
Chantal PellegriniNassir NavabAnees KaziPublished in: Medical Image Anal. (2023)
Keyphrases
- graph representation
- supervised learning
- graph theory
- graph structure
- graph matching
- directed graph
- graph construction
- adjacency matrix
- weighted graph
- graph databases
- labeled graphs
- graph theoretic
- graph theoretical
- graph model
- graph structures
- graph classification
- semi supervised
- random graphs
- graph partitioning
- structural pattern recognition
- graph search
- graph clustering
- spanning tree
- undirected graph
- graph mining
- series parallel
- graph transformation
- graph data
- dynamic graph
- connected graphs
- reachability queries
- graph properties
- subgraph isomorphism
- bipartite graph
- spinal cord injury
- training set
- attributed graphs
- graph representations
- inexact graph matching
- graph kernels
- graph isomorphism
- graph drawing
- normalized cut
- random walk
- topological information
- edge weights
- maximum clique
- supervised training
- patient data
- maximal cliques
- dense subgraphs
- maximum common subgraph
- web graph
- planar graphs
- unsupervised learning
- bounded treewidth
- structured data
- connected components
- adjacency graph
- real world graphs
- graphical structure
- intra operatively
- graph embedding
- frequent subgraphs
- maximum cardinality
- neighborhood graph
- graph patterns
- small world
- connected dominating set