The rapid increase in the number of proteins in sequence databases and the diversity of their functions challenge computational approaches for automated function prediction. Here, we introduce DeepFRI ...

Given two binary functions from different platforms, our goal is to determine whether the two functions come from the same source code. Despite deep learning’s ability to capture rich code features ...

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...