In the first line: a number of next lines. In a line (expect the first): a number of vertices and after space an adjacency matrix written from the left to the right and from the top to the bottom.

In the first line: a number of next lines. In a line (expect the first): a number of vertices and after space an adjacency matrix written from the left to the right and from the top to the bottom.

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 ...

Facing challenges such as dynamic changes in data dimensions in the retail environment, over-smoothing issues in GNNs, and the effective fusion of multidimensional features, we adopted a graph-based ...

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 ...

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 ...