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: "natural proofs versus derandomization"
  Abstract: We study connections between Natural Proofs, derandomization, and the problem of proving "weak" circuit lower bounds such as ${\sf NEXP} \not\subset {\sf TC^0}$. Natural Proofs have three properties: they are constructive (an efficient algorithm $A$ is embedded in them), have largeness ($A$ accepts a large fraction of strings), and are useful ($A$ rejects all strings which are truth tables of small circuits). Strong circuit lower bounds that are "naturalizing" would contradict present cryptographic understanding, yet the vast majority of known circuit lower bound proofs are naturalizing. So it is imperative to understand how to pursue un-Natural Proofs. Some heuristic arguments say constructivity should be circumventable: largeness is inherent in many proof techniques, and it is probably our presently weak techniques that yield constructivity. We prove: #R##N#$\bullet$ Constructivity is unavoidable, even for $\sf NEXP$ lower bounds. Informally, we prove for all "typical" non-uniform circuit classes ${\cal C}$, ${\sf NEXP} \not\subset {\cal C}$ if and only if there is a polynomial-time algorithm distinguishing some function from all functions computable by ${\cal C}$-circuits. Hence ${\sf NEXP} \not\subset {\cal C}$ is equivalent to exhibiting a constructive property useful against ${\cal C}$. #R##N#$\bullet$ There are no $\sf P$-natural properties useful against ${\cal C}$ if and only if randomized exponential time can be "derandomized" using truth tables of circuits from ${\cal C}$ as random seeds. Therefore the task of proving there are no $\sf P$-natural properties is inherently a derandomization problem, weaker than but implied by the existence of strong pseudorandom functions. #R##N#These characterizations are applied to yield several new results, including improved ${\sf ACC}^0$ lower bounds and new unconditional derandomizations.

Connected through hyperedge HE-1 (induced by source paper "toward super polynomial size lower bounds for depth two threshold circuits"):
  with members:
    - "on the hardness of approximate and exact bichromatic maximum inner product"
    - "tighter connections between formula sat and shaving logs"
    - "limits on representing boolean functions by linear combinations of simple functions thresholds relus and low degree polynomials"
    - "fine grained complexity meets ip pspace"
    - "weights at the bottom matter when the top is heavy"
    - "probabilistic rank and matrix rigidity"
    - "simulating branching programs with edit distance and friends or a polylog shaved is a lower bound made"
    - "super linear gate and super quadratic wire lower bounds for depth two and depth three threshold circuits"

Connected through hyperedge HE-2 (induced by source paper "an illuminating algorithm for the light bulb problem"):
  with members:
    - "polynomial representations of threshold functions and algorithmic applications"
    - "probabilistic polynomials and hamming nearest neighbors"
    - "powers of tensors and fast matrix multiplication"
    - "bucketing coding and information theory for the statistical high dimensional nearest neighbor problem"

Connected through hyperedge HE-3 (induced by source paper "succinct hitting sets and barriers to proving algebraic circuits lower bounds"):
  with members:
    - "towards an algebraic natural proofs barrier via polynomial identity testing"
    - "functional lower bounds for arithmetic circuits and connections to boolean circuit complexity"
    - "proof complexity lower bounds from algebraic circuit complexity"
    - "bipartite perfect matching is in quasi nc"
    - "boundaries of vp and vnp"
    - "unifying known lower bounds via geometric complexity theory"
    - "progress on polynomial identity testing ii"
    - "subexponential size hitting sets for bounded depth multilinear formulas"

Connected through hyperedge HE-4 (induced by source paper "conspiracies between learning algorithms circuit lower bounds and pseudorandomness"):
  with members:
    - "graph isomorphism and circuit size"
    - "analysis of boolean functions"
    - "new algorithms and lower bounds for circuits with linear threshold gates"
    - "simple strategies for large zero sum games with applications to complexity theory"

Connected through hyperedge HE-5 (induced by source paper "unifying known lower bounds via geometric complexity theory"):
  with members:
    - "the complexity of factors of multivariate polynomials"
    - "lower bounds for the circuit size of partially homogeneous polynomials"
    - "using elimination theory to construct rigid matrices"
    - "equations for lower bounds on border rank"
    - "complexity of linear circuits and geometry"
    - "improved bounds for reduction to depth 4 and depth 3"
    - "explicit lower bounds via geometric complexity theory"
    - "new lower bounds for the rank of matrix multiplication"

Connected through hyperedge HE-6 (induced by source paper "new algorithms and lower bounds for circuits with linear threshold gates"):
  with members:
    - "0 1 integer linear programming with a linear number of constraints"
    - "faster all pairs shortest paths via circuit complexity"
    - "algorithms versus circuit lower bounds"
    - "a satisfiability algorithm for sparse depth two threshold circuits"
    - "faster algorithms for rectangular matrix multiplication"

Connected through hyperedge HE-7 (induced by source paper "algorithms versus circuit lower bounds"):
  with members:
    - "satisfiability algorithms for restricted circuit classes"
    - "a satisfiability algorithm for sparse depth two threshold circuits"
    - "a satisfiability algorithm for ac 0"
    - "almost natural proofs"

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)