ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs.
Shihong GaoYiming LiYanyan ShenYingxia ShaoLei ChenPublished in: Proc. VLDB Endow. (2024)
Keyphrases
- neural network
- dynamic graph
- graph representation
- dynamic networks
- graph theory
- graph structure
- graph model
- graph mining
- graph matching
- training process
- graph databases
- pattern recognition
- graph theoretic
- directed graph
- training algorithm
- temporal sequences
- graph theoretical
- weighted graph
- bipartite graph
- adjacency matrix
- subgraph isomorphism
- graph partitioning
- feed forward neural networks
- graph representations
- graph structures
- feedforward neural networks
- proximity search
- multi layer perceptron
- temporal behavior
- graph properties
- multi layer
- labeled graphs
- real world graphs
- evolving graphs
- artificial neural networks
- edge weights
- structured data
- graph search
- community detection
- massive graphs
- directed acyclic
- semi supervised
- structural pattern recognition
- neural network model
- recurrent neural networks
- undirected graph
- web graph
- planar graphs
- series parallel
- graph clustering
- maximal cliques
- graph construction