Instead of focusing on general patterns we focus on homogeneous patterns of bounded depth in this thesis only.
For them a classification splitting the types in easy (strongly sub-quadratic) and hard (essentially quadratic time under SETH) is known.
We take a fine-grained look at the hard pattern types from this classification and show that few types allow super-poly-logarithmic improvements while the algorithms for the other pattern types can only be improved by a constant number of log-factors, assuming the Formula-SAT Hypothesis.