Biró, Hujter, and Tuza (1992) introduced the concept of H-graphs, intersection graphs of connected subregions of a graph H thought of as a one-dimensional topological space. They are related to and generalize many important classes of geometric intersection graphs, e.g., interval graphs, circular-arc graphs, split graphs, and chordal graphs. Our paper starts a new line of research in the area of geometric intersection graphs by studying H-graphs from the point of view of computational problems that are fundamental in theoretical computer science: recognition, graph isomorphism, dominating set, clique, and colorability.Surprisingly, we negatively answer the 25-year-old question of Biró, Hujter, and Tuza which asks whether H-graphs can be recognized in polynomial time, for a fixed graph H. We prove that it is NP-complete if H contains the diamond graph as a minor. On the positive side, we provide a polynomial-time algorithm recognizing T -graphs, for each fixed tree T . For the special case when T is a star S d of degree d, we have an O(n 3.5 )-time algorithm.We give FPTand XP-time algorithms solving the minimum dominating set problem on S dgraphs and H-graphs parametrized by d and the size of H, respectively. As a byproduct, the algorithm for H-graphs adapts to an XP-time algorithm for the independent set and the independent dominating set problems on H-graphs.If H contains the double-triangle as a minor, we prove that the graph isomorphism problem is GI-complete and that the clique problem is APX-hard. On the positive side, we show that the clique problem can be solved in polynomial time if H is a cactus graph. Also, when a graph G has a Helly H-representation, the clique problem can be solved in polynomial time.Further, we show that both the k-clique and the list k-coloring problems are solvable in FPTtime on H-graphs (parameterized by k and the treewidth of H). In fact, these results apply to classes graphs of graphs with treewidth bounded by a function of the clique number.Finally, we observe that H-graphs have at most n O( H ) minimal separators which allows us to apply the meta-algorithmic framework of Fomin, Todinca, and Villanger (2015) to show that for each fixed t, finding a maximum induced subgraph of treewidth t can be done in polynomial time. In the case when H is a cactus, we improve the bound to O( H n 2 ).