human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "bundled crossings revisited"):
  Abstract: An effective way to reduce clutter in a graph drawing that has (many) crossings is to group edges into \emph{bundles} when they travel in parallel. Each edge can participate in many such bundles. Any crossing in this bundled graph occurs between two bundles, i.e., as a \emph{bundled crossing}. We minimize the number of bundled crossings. We consider two settings. #R##N#In the first setting, a graph is given and the goal is to find a bundled drawing with at most $k$ crossings. We show that the problem is NP-hard when we require a simple drawing. Our main result is an FPT algorithm (in $k$) when we require a simple circular layout. These results make use of the connection between bundled crossings and graph genus. #R##N#In the second setting, we bundle a given drawing to minimize the number of bundled crossings. We investigate storyline visualizations (for which the bundled drawing problem has been well studied). We show that testing if a given visualization with $m$ characters can be bundled into $k$ crossings is FPT in~$m$ with singly-exponential runtime.

Includes members:
  Member "crossing minimization for 1 page and 2 page drawings of graphs with bounded treewidth":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "upward book embeddings of st graphs")
  Member "computational topology of graphs on surfaces":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "almost tight lower bounds for hard cutting problems in embedded graphs")
  Member "the bundled crossing number":
    also connected through other hyperedges:
      (none)
  Member "block crossings in storyline visualizations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "spatially and temporally coherent visual summaries")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CG(Computational Geometry)