Mixed Graph Contrastive Network for Semi-supervised Node Classification.
Xihong YangYiqi WangYue LiuYi WenLingyuan MengSihang ZhouXinwang LiuEn ZhuPublished in: ACM Trans. Knowl. Discov. Data (2024)
Keyphrases
- semi supervised
- semi supervised classification
- supervised learning
- directed graph
- finding the shortest path
- semi supervised learning
- pattern recognition
- overlapping communities
- label propagation
- classification accuracy
- text classification
- path length
- pairwise
- support vector machine
- feature extraction
- decision trees
- labeled and unlabeled data
- graph structure
- neighboring nodes
- unlabeled samples
- semi supervised clustering
- co training
- machine learning
- feature vectors
- network structure
- tree structure
- unlabeled data
- support vector
- degree distribution
- hidden nodes
- random graphs
- training samples
- random walk
- graph construction
- feature selection
- link prediction
- clustering algorithm
- class labels
- unsupervised clustering
- spanning tree
- weighted graph
- graph theory