Explanation Graph Generation via Generative Pre-training over Synthetic Graphs.
Han CuiShangzhan LiYu ZhangQi ShiPublished in: CoRR (2023)
Keyphrases
- graph theory
- graph representation
- graph structure
- graph databases
- graph classification
- weighted graph
- directed graph
- graph construction
- graph matching
- labeled graphs
- graph mining
- graph theoretic
- graph theoretical
- graph properties
- random graphs
- graph model
- graph structures
- adjacency matrix
- graph clustering
- graph search
- graph partitioning
- subgraph isomorphism
- spanning tree
- series parallel
- graph data
- graph isomorphism
- bipartite graph
- undirected graph
- edge weights
- graph representations
- discriminative training
- minimum spanning tree
- web graph
- dynamic graph
- real world graphs
- graph transformation
- maximum common subgraph
- training set
- graph patterns
- reachability queries
- structural pattern recognition
- maximal cliques
- massive graphs
- attributed graphs
- supervised learning
- community detection
- graph kernels
- planar graphs
- random walk
- connected graphs
- evolving graphs
- maximum cardinality
- graph layout
- social graphs
- connected components
- query graph
- graph embedding
- topological information
- maximum clique
- frequent subgraphs
- directed acyclic
- inexact graph matching
- neighborhood graph
- pattern mining
- structured data
- dense subgraphs
- semi supervised learning
- generative model
- graphical structure
- finding the shortest path
- discriminative classifiers