GNN

A research overview lists key topics in machine learning, AI, and deep learning, including Euclidean geometry, group invariance theorem, universal approximation, player perceptron, curse of dimensiona…

A developer has built a hybrid LLM-GNN framework to enhance the efficiency of ADAPT-QAOA for quantum circuit optimization. The model, which combines large language models with graph neural networks, a…

Researchers introduced Geometry-Aware Tabular Diffusion (GATD), a method that improves tabular data synthesis by feeding pairwise angles and lengths from column value differences into diffusion denois…