Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities.
Antonio LongaVeronica LachiGabriele SantinMonica BianchiniBruno LepriPietro LioFranco ScarselliAndrea PasseriniPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- neural network
- graph representation
- graph theory
- weighted graph
- directed graph
- graph matching
- graph structure
- graph model
- series parallel
- graph theoretic
- graph databases
- labeled graphs
- adjacency matrix
- graph structures
- graph construction
- graph mining
- graph classification
- subgraph isomorphism
- graph data
- random graphs
- graph clustering
- graph theoretical
- pattern recognition
- temporal reasoning
- structural pattern recognition
- bipartite graph
- graph partitioning
- spanning tree
- graph properties
- dynamic graph
- graph search
- minimum spanning tree
- undirected graph
- temporal information
- graph transformation
- graph representations
- graph isomorphism
- reachability queries
- real world graphs
- maximum clique
- disk resident
- graph drawing
- neighborhood graph
- maximum common subgraph
- connected graphs
- connected dominating set
- edge weights
- artificial neural networks
- random walk
- temporal sequences
- finding the shortest path
- average degree
- evolving graphs
- quasi cliques
- back propagation
- graph embedding
- web graph
- query graph
- maximum cardinality
- temporal patterns
- maximal cliques
- planar graphs
- graph layout
- dense subgraphs
- directed acyclic
- relational structures
- connected components
- social graphs
- graph patterns
- inexact graph matching
- association graph