Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Graph-based semi-supervised learning (GSSL) has long been a research focus. Traditional methods are generally shallow learners, based on the cluster assumption.

The resulting architecture, Cluster-wise Graph Transformer (Cluster-GT), which uses node clusters as tokens and employs our proposed N2C-Attn module, shows superior performance on various graph-level ...

Great efforts have been devoted to understanding the stability and reactivity of silver clusters, which usually depend on geometric structures, electronic configuration, and cluster size. Despite the ...

Graph-based clustering for single-cell data Overview This repository implements functions for construction and clustering of a nearest-neighbor graph created from single-cell data. Each node in the ...

Methods: In this context, spectral density is an exciting feature because graphs generated by different models present distinct spectral densities, thus presenting different connectivity structures.