GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion.
Hong YinJiang ZhongChen WangRongzhen LiXue LiPublished in: Expert Syst. Appl. (2023)
Keyphrases
- graph theory
- graph representation
- connected components
- spanning tree
- knowledge acquisition
- graph theoretic
- global information
- graph model
- human computer interaction
- structured data
- graph structure
- directed acyclic graph
- global knowledge
- semantically rich
- small world
- graph databases
- network model
- weighted graph
- directed graph
- random walk
- higher level
- domain knowledge
- graph mining
- high level
- semantic network
- graphical representation
- random graphs
- protein interaction networks
- fully connected
- wireless sensor networks
- dynamic networks