Global Graph Attention Embedding Network for Relation Prediction in Knowledge Graphs.
Qian LiDaling WangShi FengCheng NiuYifei ZhangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- global information
- dynamic networks
- random graphs
- graph embedding
- graph representation
- highly connected
- small world
- graph theory
- spanning tree
- global knowledge
- fully connected
- finding the shortest path
- directed graph
- graph construction
- graph structure
- weighted graph
- graph mining
- graph theoretic
- degree distribution
- knowledge base
- graph clustering
- graph model
- graph structures
- graph matching
- graph databases
- protein interaction networks
- labeled graphs
- community discovery
- bipartite graph
- network structure
- directed edges
- graph properties
- densely connected
- graph data
- real world graphs
- average degree
- reachability queries
- graph classification
- complex networks
- adjacency matrix
- structural pattern recognition
- neighborhood graph
- scale free
- graph partitioning
- power law
- nodes of a graph
- functional modules
- graph search
- directed acyclic graph
- structured data