Abstract: Social graphs are essential for various data analysis, yet their direct publication introduces significant privacy risks due to the sensitive nature of their information. To mitigate these ...

Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...

The transatlantic relationship between the United States and the European Union is under renewed strain. US President Donald Trump has recently criticised European leaders, labelling them “weak,” ...

A lightweight, extensible workflow engine built using FastAPI. This backend allows you to define graphs of processing nodes, execute them as workflows, log every step, and retrieve the results via ...

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 ...