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: "new algorithms and lower bounds for circuits with linear threshold gates"
  Abstract: Let $ACC \circ THR$ be the class of constant-depth circuits comprised of AND, OR, and MOD$m$ gates (for some constant $m > 1$), with a bottom layer of gates computing arbitrary linear threshold functions. This class of circuits can be seen as a "midpoint" between $ACC$ (where we know nontrivial lower bounds) and depth-two linear threshold circuits (where nontrivial lower bounds remain open). #R##N#We give an algorithm for evaluating an arbitrary symmetric function of $2^{n^{o(1)}}$ $ACC \circ THR$ circuits of size $2^{n^{o(1)}}$, on all possible inputs, in $2^n \cdot poly(n)$ time. Several consequences are derived: #R##N#$\bullet$ The number of satisfying assignments to an $ACC \circ THR$ circuit of subexponential size can be computed in $2^{n-n^{\varepsilon}}$ time (where $\varepsilon > 0$ depends on the depth and modulus of the circuit). #R##N#$\bullet$ $NEXP$ does not have quasi-polynomial size $ACC \circ THR$ circuits, nor does $NEXP$ have quasi-polynomial size $ACC \circ SYM$ circuits. Nontrivial size lower bounds were not known even for $AND \circ OR \circ THR$ circuits. #R##N#$\bullet$ Every 0-1 integer linear program with $n$ Boolean variables and $s$ linear constraints is solvable in $2^{n-\Omega(n/((\log M)(\log s)^{5}))}\cdot poly(s,n,M)$ time with high probability, where $M$ upper bounds the bit complexity of the coefficients. (For example, 0-1 integer programs with weights in $[-2^{poly(n)},2^{poly(n)}]$ and $poly(n)$ constraints can be solved in $2^{n-\Omega(n/\log^6 n)}$ time.) #R##N#We also present an algorithm for evaluating depth-two linear threshold circuits (a.k.a., $THR \circ THR$) with exponential weights and $2^{n/24}$ size on all $2^n$ input assignments, running in $2^n \cdot poly(n)$ time. This is evidence that non-uniform lower bounds for $THR \circ THR$ are within reach.

Connected through hyperedge HE-1 (induced by source paper "lower bounds against sparse symmetric functions of acc circuits expanding the reach of sat algorithms"):
  with members:
    - "limits on representing boolean functions by linear combinations of simple functions thresholds relus and low degree polynomials"
    - "polynomial representations of threshold functions and algorithmic applications"

Connected through hyperedge HE-2 (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-3 (induced by source paper "average case lower bounds and satisfiability algorithms for small threshold circuits"):
  with members:
    - "analysis of boolean functions"
    - "a tail bound for read k families of functions"
    - "a satisfiability algorithm for sparse depth two threshold circuits"
    - "a satisfiability algorithm for ac 0"
    - "average sensitivity and noise sensitivity of polynomial threshold functions"
    - "bounded independence fools halfspaces"
    - "bounding the sensitivity of polynomial threshold functions"
    - "pseudorandom generators for polynomial threshold functions"

Connected through hyperedge HE-4 (induced by source paper "limits on representing boolean functions by linear combinations of simple functions thresholds relus and low degree polynomials"):
  with members:
    - "weights at the bottom matter when the top is heavy"
    - "depth separation for neural networks"
    - "polynomial representations of threshold functions and algorithmic applications"
    - "understanding deep neural networks with rectified linear units"
    - "depth width tradeoffs in approximating natural functions with neural networks"
    - "the power of depth for feedforward neural networks"
    - "super linear gate and super quadratic wire lower bounds for depth two and depth three threshold circuits"

Connected through hyperedge HE-5 (induced by source paper "high dimensional clustering with r nets"):
  with members:
    - "high dimensional approximate r nets"

Connected through hyperedge HE-6 (induced by source paper "quantified derandomization of linear threshold circuits"):
  with members:
    - "deterministic search for cnf satisfying assignments in almost polynomial time"
    - "average case lower bounds and satisfiability algorithms for small threshold circuits"
    - "randomness extraction in ac0 and with small locality"
    - "pseudorandomness via the discrete fourier transform"
    - "super linear gate and super quadratic wire lower bounds for depth two and depth three threshold circuits"
    - "analysis of boolean functions"
    - "almost optimal pseudorandom generators for spherical caps"
    - "a satisfiability algorithm for sparse depth two threshold circuits"

Connected through hyperedge HE-7 (induced by source paper "on polynomial approximations over mathbb z 2 k mathbb z"):
  with members:
    - "nonclassical polynomials as a barrier to polynomial lower bounds"

Connected through hyperedge HE-8 (induced by source paper "polynomial representations of threshold functions and algorithmic applications"):
  with members:
    - "average case lower bounds and satisfiability algorithms for small threshold circuits"
    - "subquadratic algorithms for succinct stable matching"
    - "super linear gate and super quadratic wire lower bounds for depth two and depth three threshold circuits"
    - "optimal data dependent hashing for approximate near neighbors"
    - "probabilistic polynomials and hamming nearest neighbors"
    - "beyond locality sensitive hashing"
    - "faster all pairs shortest paths via circuit complexity"
    - "a satisfiability algorithm for sparse depth two threshold circuits"

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)