GitHub

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning

Official PyTorch implementation of our AAAI 2024 paper "Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning". The code has been aggreated to our new work on SSCL "Persistence ...
IEEE

Label Guided Graph Optimized Convolutional Network for Semi-Supervised Learning

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...
IEEE

Fast Multiview Semi-Supervised Classification With Optimal Bipartite Graph

Abstract: As data collection becomes increasingly facile and descriptions of data grow more diverse, exploring heterogeneous multiview data is becoming essential. Extracting valuable insights from ...
GitHub

Semi-supervised Manifold Regularization with Adaptive Graph Construction

This repository contains the Matlab implementation of the paper titled "Semi-supervised manifold regularization with adaptive graph construction" published in "Pattern Recognition Letters". The paper ...