Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs.
Costas MavromatisVassilis N. IoannidisShen WangDa ZhengSoji AdeshinaJun MaHan ZhaoChristos FaloutsosGeorge KarypisPublished in: ECML/PKDD (3) (2023)
Keyphrases
- graph representation
- graph theory
- graph structure
- graph matching
- directed graph
- weighted graph
- graph construction
- graph theoretic
- graph databases
- labeled graphs
- adjacency matrix
- graph theoretical
- graph clustering
- graph structures
- graph mining
- graph search
- series parallel
- graph classification
- graph partitioning
- graph model
- graph properties
- random graphs
- spanning tree
- graph isomorphism
- subgraph isomorphism
- minimum spanning tree
- graph data
- bipartite graph
- undirected graph
- structural pattern recognition
- dynamic graph
- graph transformation
- finding the shortest path
- connected graphs
- connected dominating set
- dense subgraphs
- inexact graph matching
- graph kernels
- query graph
- random walk
- maximum common subgraph
- attributed graphs
- disk resident
- maximum clique
- evolving graphs
- graph embedding
- graph representations
- graph patterns
- professional development
- structured data
- multimedia
- maximum independent set
- web graph
- reachability queries
- average degree
- frequent subgraphs
- maximal cliques
- neighborhood graph
- planar graphs
- topological information
- graph layout
- directed acyclic
- massive graphs
- easy to follow
- edge weights
- learning process
- connected components
- directed acyclic graph
- maximum cardinality
- quasi cliques
- strongly connected
- small world
- metadata
- vertex set