This repository contains a pipeline for processing function call graphs (FCGs), training a Word2Vec model, preprocessing graphs, and training a Graph Convolutional Network (GCN) with attention. The ...
The difference between random() and Math.random() is whether they are affected by randomSeed(). With random(), you can get the same set of values if you use the same seed value. For example, with the ...
Abstract: Graphs classification is a relevant problem that arises in many disciplines. Using graphs directly instead of vectorization allows exploiting the intrinsic representations of the data.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results