In Quantum Mechanics, we describe the state of the system as a vector in some vector space. For example, one might have a 2-state system with a state vector:
$$\psi = \left( \begin{matrix} x\\y\end{matrix} \right)$$
The time derivative of a vector is defined by the multiplication of a matrix (which is called the Hamiltonian) with the vector. This is written as:
$$ \dot{\psi} = i H \psi $$
This is the famous Schrodinger's equation. So over time, we would have:
$$ \psi(t) = \exp(i H t) \psi(t=0) $$
This is a continuous process. For example for a Hamiltoninan:
$$ H = g \left( \begin{matrix}{0 \ 1}\\{1\ 0} \end{matrix} \right)$$
The solution would be:
$$\psi(t) = \exp(i H t) \left( \begin{matrix} 1\\0\end{matrix} \right)= \cos(g t) \left( \begin{matrix} 1\\0\end{matrix} \right) + i \sin (g t) \left( \begin{matrix} 0\\1\end{matrix} \right)$$
So over time, there is a continuous transition between the two states, defined by the "adjacency matrix" H. Notice that there are some $i$'s wondering around. In physics their meaning is a bit tricky, but you should only think of the "weight" each state has by the end, ignoring the complex phase. The total weight will always be conserved.
The adjacency matrix describe exactly which transition will occur. A state vector describe a "weight of being" in each vertex, and using the adjacency as the Hamiltonian, means that states will evolve to their adjacent vertecies. You will get a similar result for more complex matrices.