title: Recommendations for using graphs theory in machine learning?
body: <p>I have been learning alot about using graphs for machine learning by watching Christopher Bishops videos( <a href="http://videolectures.net/mlss04_bishop_gmvm/">http://videolectures.net/mlss04_bishop_gmvm/</a> ).  I find it very interesting and watched a few others in the same categories(machine learning/graph) but was wondering if anyone had any recommendations for ways of learning more?</p>
  
  <p>My problem is, although the videos gave a great high level understanding, I don't have much practical skills in it yet. I've read Bishops book on machine learning/patterns as well as Norvig's AI book but both don't seem to touch upon specific using graphs much.   With the emergence of search engines and social networking, I would think machine learning on graphs would be popular.  </p>
  
  <p>If possible, can anyone suggestion an a resource to learn from?  (I'm new to this field and development is a hobby for me, so I'm sorry in advance if there's a super obvious resource to learn from..I tried google and university sites).</p>
  
  <p>Thanks in advance!</p>