Abstract: Graph data modeling is nontrivial due to the challenges to ensure model interpretability and handle data uncertainty. While methods derived from deep learning models, such as graph neural ...

Abstract: We consider regenerating codes in distributed storage systems where connections between the nodes are constrained by a graph. In this problem, the failed node downloads the information ...

Critical node detection investigates the identification of influential nodes whose removal, either accidental or deliberate, significantly diminishes network connectivity and overall performance. This ...

Then open JupyterLab, VS Code, or your favorite editor to start developing. Changes made in js/ will be reflected in the notebook.

Add a description, image, and links to the unity-shader-graph topic page so that developers can more easily learn about it.

In today’s world, Graph similarity computation (GSC) plays an important role in various applications such as code detection, molecular graph similarity, image matching, etc., by evaluating the ...