DeltaGNN: Accelerating Graph Neural Networks on Dynamic Graphs With Delta Updating.
Chen YinJianfei JiangQin WangZhigang MaoNaifeng JingPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2024)
Keyphrases
- dynamic graph
- neural network
- graph representation
- graph structure
- dynamic networks
- graph theory
- graph theoretic
- directed graph
- graph matching
- labeled graphs
- graph databases
- dynamically updated
- pattern recognition
- graph mining
- weighted graph
- graph model
- graph clustering
- series parallel
- graph structures
- adjacency matrix
- random graphs
- graph data
- bipartite graph
- graph theoretical
- structural pattern recognition
- graph partitioning
- graph layout
- graph properties
- random walk
- inexact graph matching
- graph embedding
- artificial neural networks
- graph drawing
- graph classification
- edge weights
- maximum clique
- maximum common subgraph
- maximum cardinality
- graph isomorphism
- attributed relational graph
- spanning tree
- subgraph isomorphism
- undirected graph
- community discovery
- small world
- graph kernels
- neighborhood graph
- finding the shortest path
- graph search
- massive graphs
- web graph
- query graph
- average degree
- graph transformation
- planar graphs
- real world graphs
- vertex set