2 papers
cs.LG2024
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes
Shuaike Xu, Xiaolin Zhang, Peng Zhang +1
Graph node classification with few labeled nodes presents significant challenges due to limited supervision. Conventional methods often exploit the graph in a transductive learning…
cs.CV2024
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network
Zhibo Tain, Xiaolin Zhang, Peng Zhang +1
Semi-supervised semantic segmentation (SSS) is an important task that utilizes both labeled and unlabeled data to reduce expenses on labeling training examples. However, the effect…