human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "how fast can we multiply large integers on an actual computer"
  Abstract: We provide two complexity measures that can be used to measure the running time of algorithms to compute multiplications of long integers. The random access machine with unit or logarithmic cost is not adequate for measuring the complexity of a task like multiplication of long integers. The Turing machine is more useful here, but fails to take into account the multiplication instruction for short integers, which is available on physical computing devices. An interesting outcome is that the proposed refined complexity measures do not rank the well known multiplication algorithms the same way as the Turing machine model.

Connected through hyperedge HE-1 (induced by source paper "minimizing and computing the inverse geodesic length on trees"):
  with members:
    - "multivariate analysis of orthogonal range searching and graph distances parameterized by treewidth"

Connected through hyperedge HE-2 (induced by source paper "a near linear pseudopolynomial time algorithm for subset sum"):
  with members:
    - "on problems as hard as cnf sat"
    - "a faster pseudopolynomial time algorithm for subset sum"
    - "losing weight by gaining edges"
    - "fast integer multiplication using modular arithmetic"

Connected through hyperedge HE-3 (induced by source paper "on the complexity of computing prime tables on a turing machine"):
  with members:
    - "on the complexity of computing prime tables"

Connected through hyperedge HE-4 (induced by source paper "on the complexity of computing prime tables"):
  with members:
    - "fast integer multiplication using modular arithmetic"

Connected through hyperedge HE-5 (induced by source paper "even faster integer multiplication"):
  with members:
    - "faster polynomial multiplication over finite fields"
    - "fast integer multiplication using modular arithmetic"

Question: Please tell me which class the center node 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.CC(Computational Complexity)