According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s. They’ve now ...

This framework formulates the graph generation task as a probabilistic observation-inference process: using the self-learning adjacency matrix and time delayed self-attention (TDSA) methods to ...

Methods: This study proposes a graph convolutional neural network (GCN)-based ADHD detection framework utilizing ... Second, a novel functional connectivity matrix is constructed by fusing phase lag ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

relation-graph is a relationship graph display component that supports Vue2, Vue3, React. Allowing you to fully customize the graphical elements using HTML/CSS and ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

In this paper, we develop a novel cell-graph based Cell-Graph Attention (CGAT ... metrics for the 15 pairwise CGAT classifiers from every point pattern set from each disease group. Table 3 shows the ...