There is a strong limitation of assuming the edges are independent because real-world graphs exhibit many complex dependencies between edges.

For example, the tendency for real-world graphs to have high clustering coefficients is difficult to capture in an edge-independent model

Hence, dependency is a solution to alleviate this issue while maintaining tractability