The correct answer is A. NetworkX.
NetworkX is a Python package for the creation, manipulation, and analysis of complex networks. It is a popular choice for graph analysis because it is easy to use and has a wide range of features. NetworkX can be used to create graphs from scratch, import graphs from other formats, and perform a variety of graph algorithms.
Seaborn is a Python data visualization library that provides a high-level interface for drawing attractive statistical graphics. It is built on top of Matplotlib, but provides a number of features that make it easier to use, such as a built-in style guide and a variety of pre-defined plot types.
Pandas is a Python data analysis library that provides high-performance, easy-to-use data structures and data analysis tools for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
igraph is a network analysis software package written in R. It provides a wide range of functions for working with graphs, including graph creation, manipulation, and analysis.
In conclusion, NetworkX is the most popular Python library for working with graph data structures and performing graph algorithms. It is easy to use and has a wide range of features.