Hello everyone, I am new to deep learning and dgl.
I want to use dgl to make a graph for the commit history, using which I want to find whether a commit will be buggy or not.
For this, I want to make a heterogeneous graph that would have a structure like shown in the figure. But a commit with a unique commit id and properties, modifies files, with each edge having a specific weight called lines added and lines removed. Each commit has an author and parent commit.
I am able to create it in networkx. However, I am unable to get it into dgl heterogeneous graph. I am unable to map that structure to dgl heterogenous graph.
Any help would be greatly appreciated! Thank you!
Any tutorial or help material to shape my thinking would be appreciated. I think i am looking at the problem wrong, but don’t know how to look at it right too.