Latest Articles for Graph Convolutional Networks

A new method improves melanoma diagnosis by integrating technology and clinical knowledge.

Flex-GCN improves accuracy in estimating 3D human poses using advanced graph methods.

A new method enhances recognition of human activities using skeleton data.

A new method improves action recognition using skeleton data by focusing on joint motion.

Research explores machine learning in classifying autism via brain imaging data.

Leveraging GCNs to enhance automatic question classification in educational tools.

A new graph-based method enhances skeletonization for anatomical shape analysis.

A novel approach improves the accuracy of lithium-ion battery health assessments.

Research reveals new findings on the toxicity of PFAS and their health effects.

Learn how to anticipate links in teamwork through collaboration networks.

A look at how graph learning enhances semi-supervised domain adaptation.

SuperGCN improves training efficiency for large graphs using advanced CPU techniques.

Discover how predictive models transform fast fashion sustainability.

A new method for smarter document clustering using Named Entity Recognition and rich embeddings.

Learn how limited information aids in node classification using semi-supervised learning.

A new approach improves classification in knowledge graphs using GCNs and Markov processes.

A new model improves online recommendations by capturing complex user-item connections.

New methods enhance action recognition through skeleton data analysis.