Neighborhood Pattern Is Crucial for Graph Convolutional Networks Performing Node Classification.
Gongpei ZhaoTao WangYidong LiYi JinCongyan LangSonghe FengPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- directed graph
- graph structure
- overlapping communities
- classification accuracy
- pattern recognition
- feature vectors
- edge weights
- image classification
- support vector machine svm
- machine learning
- support vector
- feature extraction
- support vector machine
- betweenness centrality
- weighted graph
- pattern representation
- graph theory
- pattern matching
- tree structure
- bipartite graph
- class labels
- random walk
- graph model
- supervised learning
- small world
- restricted boltzmann machine
- citation networks
- small world networks
- training set
- neighboring nodes
- learning algorithm
- neural network