Tag: topological data analysis

A hybrid graph neural network that combines message passing with topological persistence embeddings shows improved robustness to edge removal on ...

Researchers have introduced the persistence partition, a non-parametric method using persistent homology to group network nodes in ways that conventional ...

Researchers have developed an unsupervised algorithm that uses topological data analysis to detect functional stages in EEG recordings from meditation ...

A new critical review argues that topological deep learning, spanning persistent homology, simplicial and cellular complexes, and sheaf-based models, is ...

Researchers in India have built a multimodal deep learning framework that fuses text, images and browsing behavior to classify dark ...

A geometric deep learning framework trained on finite element simulations predicts cold spray particle impact responses with R-squared values exceeding ...