Multi-Order-Content-Based Adaptive Graph Attention Network for Graph Node Classification.
Yong ChenXiao-Zhu XieWei WengYi-Fan HePublished in: Symmetry (2023)
Keyphrases
- directed graph
- graph structure
- random walk
- path length
- edge weights
- graph theoretic
- structured data
- pattern recognition
- degree distribution
- graph representation
- strongly connected
- peer to peer
- support vector
- overlapping communities
- graph theory
- finding the shortest path
- weighted graph
- graph mining
- spanning tree
- connected components
- random graphs
- fully connected
- image classification
- classification accuracy
- feature space
- decision trees
- heterogeneous social networks
- small world
- graph matching
- graph model
- directed acyclic graph
- bipartite graph
- machine learning
- computer networks
- complex networks
- class labels
- support vector machine svm
- image retrieval
- feature extraction
- multimedia
- feature selection