Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation.
Hao ChenZhong HuangYue XuZengde DengFeiran HuangPeng HeZhoujun LiPublished in: CoRR (2022)
Keyphrases
- classification accuracy
- directed graph
- overlapping communities
- graph structure
- support vector
- edge weights
- decision trees
- feature extraction
- feature space
- heterogeneous social networks
- support vector machine
- pattern recognition
- feature selection
- graph theory
- social networks
- classification method
- classification algorithm
- training data
- random walk
- support vector machine svm
- class labels
- average degree
- neighboring nodes
- bipartite graph
- nearest neighbor
- small world networks
- weighted graph
- fully connected
- machine learning
- text classification
- nodes of a graph
- betweenness centrality
- degree distribution
- network nodes
- training set
- active learning
- supervised learning
- collaborative filtering
- image classification
- tree structure
- user preferences
- unsupervised learning