Add networkx as a choice of graph backend

[RemyLau]

In the early development of the nleval project, a lightweight graph object was implemented and was used throughout the codebase for the sake of computational and memory efficiencies over networkx. However, there has been a lot of improvement made to the networkx library and it is worth exploring its current state and finding out whether there is a good way to implement backend support using networkx.

Motivation

• networkx contains comprehensive features for processing graphs.
• networkx is commonly used by many other libraries for, e.g., plotting
• The native graph object in nleval is fast, lightweight, and can scale to genome-scale graph efficiently.

Plan

• Think of abstraction to allow different graph backend
• (add more specifics here)