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: "gap s eth hardness of svp"
  Abstract: We prove the following quantitative hardness results for the Shortest Vector Problem in the lp norm (SVP_p), where n is the rank of the input lattice.    For “almost all” p > p0 ≈ 2.1397, there is no 2n/Cp-time algorithm for SVP_p for some explicit (easily computable) constant Cp > 0 unless the (randomized) Strong Exponential Time Hypothesis (SETH) is false. (E.g., for p ≥ 3, Cp    For any 1 ≤ p ≤ ∞, there is no 2o(n)-time algorithm for SVP_p unless the non-uniform Gap-Exponential Time Hypothesis (Gap-ETH) is false. Furthermore, for each such p, there exists a constant γp > 1 such that the same result holds even for γp-approximate SVP_p.    For p > 2, the above statement holds under the weaker assumption of randomized Gap-ETH. I.e., there is no 2o(n)-time algorithm for γp-approximate SVP_p unless randomized Gap-ETH is false.    See http://arxiv.org/abs/1712.00942 for a complete exposition.

Connected through hyperedge HE-1 (induced by source paper "hardness of bounded distance decoding on lattices in ell_p norms"):
  with members:
    - "fine grained hardness of cvp p everything that we can prove and nothing else"
    - "on the quantitative hardness of cvp"
    - "discrete gaussian sampling reduces to cvp and svp"
    - "solving the closest vector problem in 2 n time the discrete gaussian strikes again"
    - "on the closest vector problem with a distance guarantee"
    - "tensor based hardness of the shortest vector problem to within almost polynomial factors"

Connected through hyperedge HE-2 (induced by source paper "tight running time lower bounds for strong inapproximability of maximum k coverage unique set cover and related problems via t wise agreement testing theorem"):
  with members:
    - "a simple gap producing reduction for the parameterized set cover problem"
    - "parameterized intractability of even set and shortest vector problem"
    - "parameterized inapproximability of exact cover and nearest codeword"
    - "tight fpt approximations for k median and k means"
    - "agreement testing theorems on layered set systems"
    - "towards a general direct product testing theorem"
    - "eth hardness of approximating 2 csps and directed steiner network"
    - "from gap eth to fpt inapproximability clique dominating set and more"

Connected through hyperedge HE-3 (induced by source paper "faster provable sieving algorithms for the shortest vector problem and the closest vector problem on lattices in 120001 p norm"):
  with members:
    - "the projection games conjecture and the hardness of approximation of ssat and related problems"
    - "improved algorithms for the shortest vector problem and the closest vector problem in the infinity norm"
    - "just take the average an embarrassingly simple 2 n time algorithm for svp and cvp"
    - "on the quantitative hardness of cvp"
    - "solving the shortest vector problem in 2 n time via discrete gaussian sampling"
    - "near optimal deterministic algorithms for volume computation via m ellipsoids"
    - "classical hardness of learning with errors"
    - "tensor based hardness of the shortest vector problem to within almost polynomial factors"

Connected through hyperedge HE-4 (induced by source paper "parameterized intractability of even set and shortest vector problem"):
  with members:
    - "parameterized complexity of csp for infinite constraint languages"
    - "on the quantitative hardness of cvp"
    - "a birthday repetition theorem and complexity of approximating dense csps"
    - "on the hardness of learning sparse parities"
    - "tensor based hardness of the shortest vector problem to within almost polynomial factors"
    - "a simple deterministic reduction for the gap minimum distance of code problem"
    - "new lattice based cryptographic constructions"

Connected through hyperedge HE-5 (induced by source paper "the projection games conjecture and the hardness of approximation of ssat and related problems"):
  with members:
    - "on the quantitative hardness of cvp"
    - "classical hardness of learning with errors"
    - "tensor based hardness of the shortest vector problem to within almost polynomial factors"
    - "covering cubes and the closest vector problem"

Connected through hyperedge HE-6 (induced by source paper "imperfect gaps in gap eth and pcps"):
  with members:
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "a birthday repetition theorem and complexity of approximating dense csps"

Connected through hyperedge HE-7 (induced by source paper "fine grained hardness of cvp p everything that we can prove and nothing else"):
  with members:
    - "on the quantitative hardness of cvp"
    - "a o 1 eps 2 n time sieving algorithm for approximate integer programming"

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)