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: "on the optimal compression of sets in pspace"
  Abstract: We show that if DTIME[2^{O(n)}] is not included in DSPACE[2^{o(n)}], then, for every set B in PSPACE, all strings x in B of length n can be represented by a string compressed(x) of length at most log (|B^{=n}|) + O(log n), such that a polynomial-time algorithm, given compressed(x), can distinguish x from all the other strings in B^{=n}. Modulo the O(log n) additive trem, this achieves the information-theoretical optimum for string compression.

Connected through hyperedge HE-1 (induced by source paper "space bounded kolmogorov extractors"):
  with members:
    - "possibilities and impossibilities in kolmogorov complexity extraction"
    - "symmetry of information and bounds on nonuniform randomness extraction via kolmogorov extractors"
    - "pseudo random graphs and bit probe schemes with one sided error"
    - "impossibility of independence amplification in kolmogorov complexity theory"
    - "improving the space bounded version of muchnik s conditional complexity theorem via naive derandomization"
    - "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"
    - "two sources are better than one for increasing the kolmogorov complexity of infinite sequences"

Connected through hyperedge HE-2 (induced by source paper "improving the space bounded version of muchnik s conditional complexity theorem via naive derandomization"):
  with members:
    - "space bounded kolmogorov extractors"
    - "symmetry of information and bounds on nonuniform randomness extraction via kolmogorov extractors"
    - "pseudo random graphs and bit probe schemes with one sided error"
    - "impossibility of independence amplification in kolmogorov complexity theory"
    - "extracting the kolmogorov complexity of strings and sequences from sources with limited independence"
    - "variations on muchnik s conditional complexity theorem"

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)