Deep graph learning for semi-supervised classification

Structure Fusion Based on Graph Convolutional Networks for Node Classification in Citation Networks

(2020) Guangfeng Lin et al.   Electronics

Structured graph learning for clustering and semi-supervised classification

(2020) Zhao Kang et al.   PATTERN RECOGNITION

Low-rank graph preserving discriminative dictionary learning for image recognition

(2019) Haishun Du et al.   KNOWLEDGE-BASED SYSTEMS

Adaptive sparse graph learning based dimensionality reduction for classification

(2019) Puhua Chen et al.   APPLIED SOFT COMPUTING

Dynamic graph convolutional networks

(2019) Franco Manessi et al.   PATTERN RECOGNITION

Multi-view spectral clustering via sparse graph learning

(2019) Zhanxuan Hu et al.   NEUROCOMPUTING

Robust Graph Learning From Noisy Data

(2019) Zhao Kang et al.   IEEE Transactions on Cybernetics

Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification

(2018) Anyong Qin et al.   IEEE Geoscience and Remote Sensing Letters

Auto-weighted multi-view clustering via kernelized graph learning

(2018) Shudong Huang et al.   PATTERN RECOGNITION

Efficient dynamic graph construction for inductive semi-supervised learning

(2017) F. Dornaika et al.   NEURAL NETWORKS

Dynamic graph fusion label propagation for semi-supervised multi-modality classification

(2017) Guangfeng Lin et al.   PATTERN RECOGNITION

Robust Recovery of Subspace Structures by Low-Rank Representation

(2012) Guangcan Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE