Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks.
Yuwen WangShunyu LiuTongya ZhengKaixuan ChenMingli SongPublished in: KDD (2024)
Keyphrases
- dynamic graph
- neural network
- graph patterns
- graph data
- graph representation
- graph structures
- graph mining
- graph theory
- graph structure
- directed graph
- dense subgraphs
- graph databases
- graph matching
- graph model
- query graph
- weighted graph
- graph theoretic
- graph construction
- frequent subgraphs
- power laws
- graph partitioning
- pattern mining
- graph theoretical
- adjacency matrix
- pattern recognition
- bipartite graph
- labeled graphs
- graph classification
- series parallel
- random graphs
- graph properties
- subgraph isomorphism
- graph representations
- structural patterns
- evolving graphs
- temporal sequences
- undirected graph
- surprising patterns
- maximum common subgraph
- reachability queries
- graph isomorphism
- structural pattern recognition
- directed acyclic
- graph clustering
- minimum spanning tree
- graph kernels
- topological information
- graph transformation
- average degree
- web graph
- pattern discovery
- edge weights
- maximum clique
- maximum cardinality
- small world
- connected subgraphs
- maximal cliques
- social graphs
- spanning tree
- structured data
- proximity graph
- attributed graphs