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 "frameworks for solving turing kernel lower bound problem and finding natural candidate problems in np intermediate"):
  Abstract: Kernelization is a significant topic in parameterized complexity. Turing kernelization is a general form of kernelization. In the aspect of kernelization, an impressive hardness theory has been established [Bodlaender etc. (ICALP 2008, JCSS2009), Fortnow and Santhanam (STOC 2008, JCSS 2011), Dell and van Melkebeek (STOC 2010, J. ACM 2014), Drucker (FOCS 2012, SIAM J. Comput. 2015)], which can obtain lower bounds of kernel size. Unfortunately, there is yet no tool can prove Turing kernel lower bound for any FPT problem modulo any reasonable complexity hypothesis. Thus, constructing a framework for Turing kernel lower bound was proposed as an open problem in different occasions [Fernau etc. (STACS 2009), Misra etc. (Discrete Optimization 2011), Kratsch (Bulletin of the EATCS 2014), Cygan etc. (Dagstuhl Seminars on kernels 2014)]. Ladner [J. ACM 1975] proved that if $P \not = NP$, then there exist infinitely many NP-intermediate problems. However, the NP-intermediate problem constructed by Ladner is artificial. Thus, finding natural NP-intermediate problems under the assumption of $P \not= NP$ is a longstanding open problem in computation complexity community. This paper builds a new bridge between parameterized complexity and classic computational complexity. By using this new connection, some frameworks can be constructed. Based on the assumption that the polynomial hierarchy and the exponential hierarchy will not collapse, these frameworks have three main applications. Firstly, these frameworks can be used to obtain Turing kernel lower bounds of some important FPT problems, thus solving the first open problem. Secondly, these frameworks can also be used to obtain better kernel lower bounds for these problems. Thirdly, these frameworks can be used to figure out a large number of natural problems in NP-intermediate, thus making some contributions to the second open problem.

Includes members:
  Member "turing kernelization for finding long paths and cycles in restricted graph classes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a turing kernelization dichotomy for structural parameterizations of mathcal f minor free deletion")
  Member "abusing the tutte matrix an algebraic instance compression for the k set cycle problem":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "parameterized pre coloring extension and list coloring problems")
  Member "point line cover the easy kernel is essentially tight":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "dynamic complexity meets parameterised algorithms")
  Member "kernelization lower bounds by cross composition":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "subexponential parameterized algorithms and kernelization on almost chordal graphs")
  Member "non existence of polynomial kernels for the test cover problem":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "fixed parameter tractable algorithms for tracking shortest paths")
  Member "kernelization of packing problems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the approximate compressibility of connected vertex cover")
  Member "clique cover and graph separation new incompressibility results":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "clustering to given connectivities")
  Member "co nondeterminism in compositions a kernelization lower bound for a ramsey type problem":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "and compression of np complete problems streamlined proof and minor observations")

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.CC(Computational Complexity)