IEEE

EHGNN: Enhanced Hypergraph Neural Network for Hyperspectral Image Classification

Abstract: Recently, the hypergraph neural network (HGNN) has drawn increasing attention in modeling complex high-order correlations. Compared to simple graph neural networks, HGNNs exhibit more ...
IEEE

Progressive Hybrid-Order Hypergraph Framework for Hyperspectral Image Classification

Abstract: Hypergraph neural networks (HGNNs) have garnered considerable attention in hyperspectral image (HSI) classification for their ability to model higher order nonlinear relationships. However, ...
GitHub

Hypergraph Transformer for Semi-Supervised Classification

The official implementation for "Hypergraph Transformer for Semi-Supervised Classification" which is accepted to ICASSP 2024 as a lecture presentation. [paper] [slides] The pipeline for training is ...
GitHub

This is for our CIKM2022 paper《Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility》

numpy ==1.13.1 torch ==1.7.1 scikit-learn==1.0.2 dgl == 0.7.2 torch-scatter == 2.0.7 【September 11, 2024】The modified code now supports the latest versions of torch and DGL. --Please run train.py to ...