Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks.
Yuwen WangShunyu LiuTongya ZhengKaixuan ChenMingli SongPublished in: CoRR (2024)
Keyphrases
- dynamic graph
- neural network
- graph patterns
- graph data
- graph structures
- graph mining
- graph theory
- graph matching
- graph databases
- dense subgraphs
- graph representation
- graph structure
- weighted graph
- graph construction
- adjacency matrix
- graph theoretic
- directed graph
- power laws
- pattern mining
- labeled graphs
- graph properties
- query graph
- frequent subgraphs
- graph classification
- structural pattern recognition
- series parallel
- graph model
- graph theoretical
- bipartite graph
- graph clustering
- graph partitioning
- subgraph isomorphism
- pattern recognition
- graph search
- random graphs
- undirected graph
- graph kernels
- average degree
- graph transformation
- graph isomorphism
- structural patterns
- real world graphs
- neighborhood graph
- artificial neural networks
- structured data
- graph drawing
- graph representations
- pattern discovery
- social network analysis
- adjacency graph
- web graph
- evolving graphs
- maximum cardinality
- directed acyclic
- shortest path
- graph layout
- random walk
- graph embedding
- surprising patterns
- spanning tree
- finding the shortest path
- connected subgraphs
- reachability queries
- community discovery
- minimum spanning tree
- edge weights
- attributed graphs