In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

Coze combines workflow logic, collaborative planning, and proprietary data access to reimagine what AI agents can do.

However, limitations such as inadequate utilization of structural information, poor feature representation, and weak graph update capabilities hinder their performance. In this article, we propose an ...

Results of "Graph-RCNN" are directly copied from their repo ... you may need to mount other volumes depending on where your datasets are stored If necessary, one may edit the DATA_DIR field in ...

I have utilised either structs or classes to create "blueprints" of the structure, being able to create instances wherever necessary. Additionally, the use of enumeration for data types allows for the ...

Consequently, there is an increasing demand for employing graph structure learning (GSL) techniques to optimize or generate the graphs. However, existing GSL techniques for traffic prediction ...