moving from tabular to graph representation of a given data

Question

Suppose that I have the following data t:

activity	teacher	group	students	duration	subject
One	A	a	3	45	Math
One	B	b	2	45	Math
two	A	c	7	60	P.E
One	D	a	3	45	Math
two	C	c	7	60	P.E

I want to construct a graph data instead of this tabular data. I am actually interested in predicting the teacher by applying some kind of Graph ML. is there a way to transform the tabular data into graphical data ? maybe using networkX. I tried the following code

G = nx.from_pandas_edgelist(df, "subject", "teacher", edge_attr=True, create_using=nx.Graph())
nx.draw_networkx(G)
plt.show()

the output of this looks like a graph, but I don't understand how it works or how can I get the new data or what is the best way to identify the node and the edge.

thank you in advance for any help.