CNN2Graph: Building Graphs for Image Classification.
Vivek TrivedyLongin Jan LateckiPublished in: WACV (2023)
Keyphrases
- image classification
- graph representation
- graph structure
- directed graph
- labeled graphs
- graph matching
- graph theory
- graph databases
- weighted graph
- graph mining
- graph theoretic
- graph model
- graph theoretical
- graph clustering
- graph classification
- graph construction
- bipartite graph
- graph structures
- adjacency matrix
- graph search
- random graphs
- graph partitioning
- series parallel
- graph data
- graph properties
- undirected graph
- bag of words
- graph isomorphism
- subgraph isomorphism
- graph transformation
- feature extraction
- maximum clique
- graph kernels
- graph representations
- neighborhood graph
- inexact graph matching
- structural pattern recognition
- reachability queries
- dense subgraphs
- disk resident
- edge weights
- query graph
- directed acyclic
- attributed graphs
- cellular neural networks
- dynamic graph
- connected graphs
- spanning tree
- web graph
- proximity graph
- maximal cliques
- massive graphs
- maximum cardinality
- random walk
- minimum spanning tree
- image features
- maximum common subgraph
- densely connected
- finding the shortest path
- evolving graphs
- image representation
- adjacency graph
- topological information
- bounded treewidth
- small world
- frequent subgraphs
- community discovery
- computer vision
- structured data
- connected components
- directed acyclic graph
- graph embedding
- polynomial time complexity
- convolutional neural network
- bounded degree
- association graph
- real world graphs
- social graphs