This lecture covers topics related to graph mining, including link-based ranking and document classification. It discusses techniques such as exploiting locality in link-based ranking, convergence of HITS algorithm, and computing betweenness in social graphs. The instructor also explains the concept of varying length encoding and the use of gap encoding in inverted files.