GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs.
Linhao LuoYixiang FangMoli LuXin CaoXiaofeng ZhangWenjie ZhangPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- graph representation
- graph theory
- graph structure
- graph theoretic
- weighted graph
- graph matching
- graph databases
- directed graph
- labeled graphs
- graph mining
- adjacency matrix
- graph construction
- graph structures
- graph model
- graph partitioning
- graph search
- graph theoretical
- graph properties
- series parallel
- graph classification
- bipartite graph
- neural network
- graph clustering
- random graphs
- graph transformation
- graph data
- spanning tree
- structural pattern recognition
- similarity measure
- dynamic graph
- betweenness centrality
- probability measure
- reachability queries
- subgraph isomorphism
- graph isomorphism
- undirected graph
- bounded treewidth
- web graph
- graph representations
- graph kernels
- evolving graphs
- minimum spanning tree
- maximum cardinality
- connected components
- random walk
- real world graphs
- planar graphs
- topological information
- graph connectivity
- maximum clique
- inexact graph matching
- graph embedding
- graph drawing
- dense subgraphs
- connected dominating set
- polynomial time complexity
- attributed graphs
- maximal cliques
- neighborhood graph
- edge weights
- social networks
- information retrieval
- adjacency graph
- query graph
- similarity scores
- connected graphs
- maximum common subgraph