A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling

Active and Semi-supervised Graph Neural Networks for Graph Classification

(2022) Yu Xie et al.   IEEE Transactions on Big Data

DeepHGNN: A Novel Deep Hypergraph Neural Network

(2022) Jingjing LIN et al.   CHINESE JOURNAL OF ELECTRONICS

Successive Graph Convolutional Network for Image De-raining

(2021) Xueyang Fu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Community enhanced graph convolutional networks

(2020) Yanbei Liu et al.   PATTERN RECOGNITION LETTERS

Geometric attentional dynamic graph convolutional neural networks for point cloud analysis

(2020) Yiming Cui et al.   NEUROCOMPUTING

Multi-manifold clustering: A graph-constrained deep nonparametric method

(2019) Xulun Ye et al.   PATTERN RECOGNITION

Graph-based semi-supervised one class support vector machine for detecting abnormal lung sounds

(2019) Rongling Lang et al.   APPLIED MATHEMATICS AND COMPUTATION

Sparse-Adaptive Hypergraph Discriminant Analysis for Hyperspectral Image Classification

(2019) Fulin Luo et al.   IEEE Geoscience and Remote Sensing Letters

Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image

(2018) Fulin Luo et al.   IEEE Transactions on Cybernetics

Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification

(2018) Zizhao Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Collective Classification in Network Data

(2017) Prithviraj Sen et al.   AI MAGAZINE

Semisupervised Sparse Manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images

(2016) Fulin Luo et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

The Graph Neural Network Model

(2008) F. Scarselli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS