Literature Review Strategy

I am skibidi marking categories in the abstract with colors to identify inclusion criteria. Lowkey, I jot down recurring keywords like tags in Zotero to later sort literature. I will use overarching tags such as 'link prediction' and specific ones like 'DD (Drug discovery)' to create a taxonomy of the literature. The goal is to have an overview that highlights typical use cases, such as drug discovery, and methods, like embedding-based techniques. I hope to find that 'error correction,' my main focus, appears infrequently. This will allow me to argue that there is substantial work in link prediction, where success hinges on solid knowledge graphs. Thus, it is necessary to push more in the error correction area. This plan aligns with current surveys and my proposal research.