In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

Research conducted by Facts4EU showed that the previous Erasmus+ exchange was a one-way street when it came to migration flows. Erasmus+ was used by only 9,993 UK students in the pre-Covid year of ...

Therefore, we propose an adaptive graph channel attention (AGCA) module, which introduces graph convolutional theory into channel attention. The AGCA module takes each channel as a feature vertex, and ...

Archaeologists can estimate a person's sex with 95% accuracy, but many experts are focused on what can be learned about ...

To address this problem, we model the point cloud as a homophilic-heterophilic graph and propose a graph regulation network (GRN) to produce finer segmentation boundaries. The proposed method can ...

Markov Affinity-based Graph Imputation of Cells (MAGIC) is an algorithm for denoising high-dimensional data most commonly applied to single-cell RNA sequencing data. MAGIC learns the manifold data, ...