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: "polynomial representations of threshold functions and algorithmic applications"
  Abstract: We design new polynomials for representing threshold functions in three different regimes: probabilistic polynomials of low degree, which need far less randomness than previous constructions, polynomial threshold functions (PTFs) with "nice" threshold behavior and degree almost as low as the probabilistic polynomials, and a new notion of probabilistic PTFs where we combine the above techniques to achieve even lower degree with similar "nice" threshold behavior. Utilizing these polynomial constructions, we design faster algorithms for a variety of problems: #R##N#$\bullet$ Offline Hamming Nearest (and Furthest) Neighbors: Given $n$ red and $n$ blue points in $d$-dimensional Hamming space for $d=c\log n$, we can find an (exact) nearest (or furthest) blue neighbor for every red point in randomized time $n^{2-1/O(\sqrt{c}\log^{2/3}c)}$ or deterministic time $n^{2-1/O(c\log^2c)}$. These also lead to faster MAX-SAT algorithms for sparse CNFs. #R##N#$\bullet$ Offline Approximate Nearest (and Furthest) Neighbors: Given $n$ red and $n$ blue points in $d$-dimensional $\ell_1$ or Euclidean space, we can find a $(1+\epsilon)$-approximate nearest (or furthest) blue neighbor for each red point in randomized time near $dn+n^{2-\Omega(\epsilon^{1/3}/\log(1/\epsilon))}$. #R##N#$\bullet$ SAT Algorithms and Lower Bounds for Circuits With Linear Threshold Functions: We give a satisfiability algorithm for $AC^0[m]\circ LTF\circ LTF$ circuits with a subquadratic number of linear threshold gates on the bottom layer, and a subexponential number of gates on the other layers, that runs in deterministic $2^{n-n^\epsilon}$ time. This also implies new circuit lower bounds for threshold circuits. We also give a randomized $2^{n-n^\epsilon}$-time SAT algorithm for subexponential-size $MAJ\circ AC^0\circ LTF\circ AC^0\circ LTF$ circuits, where the top $MAJ$ gate and middle $LTF$ gates have $O(n^{6/5-\delta})$ fan-in.

Connected through hyperedge HE-1 (induced by source paper "approximating text to pattern hamming distances"):
  with members:
    - "l p pattern matching in a stream"
    - "string synchronizing sets sublinear time bwt construction and optimal lce data structure"
    - "the streaming k mismatch problem"
    - "improved rectangular matrix multiplication using powers of the coppersmith winograd tensor"
    - "parameter free locality sensitive hashing for spherical range reporting"
    - "optimal hashing based time space trade offs for approximate near neighbors"
    - "approximate hamming distance in a stream"
    - "the k mismatch problem revisited"

Connected through hyperedge HE-2 (induced by source paper "algorithms and lower bounds for de morgan formulas of low communication leaf gates"):
  with members:
    - "improved pseudorandom generators from pseudorandom multi switching lemmas"
    - "tighter connections between formula sat and shaving logs"
    - "classical algorithms from quantum and arthur merlin communication protocols"
    - "fooling polytopes"
    - "on polynomial approximations to ac 0"
    - "conspiracies between learning algorithms circuit lower bounds and pseudorandomness"
    - "fooling functions of halfspaces under product distributions"

Connected through hyperedge HE-3 (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"
    - "new algorithms and lower bounds for circuits with linear threshold gates"

Connected through hyperedge HE-4 (induced by source paper "subsets and supermajorities unifying hashing based set similarity search"):
  with members:
    - "norm ranging lsh for maximum inner product search"
    - "an equivalence class for orthogonal vectors"
    - "hardness of approximate nearest neighbor search"
    - "fast similarity sketching"
    - "distributed pcp theorems for hardness of approximation in p"
    - "optimal hashing based time space trade offs for approximate near neighbors"
    - "on the complexity of inner product similarity join"
    - "set similarity search beyond minhash"

Connected through hyperedge HE-5 (induced by source paper "conditional hardness of earth mover distance"):
  with members:
    - "preconditioning for the geometric transportation problem"
    - "faster algorithms for the geometric transportation problem"
    - "hardness of approximate nearest neighbor search"
    - "on the hardness of approximate and exact bichromatic maximum inner product"
    - "near linear time approximation algorithms for optimal transport via sinkhorn iteration"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "parallel algorithms for geometric graph problems"

Connected through hyperedge HE-6 (induced by source paper "on the hardness of approximate and exact bichromatic maximum inner product"):
  with members:
    - "hardness of approximate nearest neighbor search"
    - "conditional lower bounds for all pairs max flow"
    - "conditional lower bounds for space time tradeoffs"
    - "distributed pcp theorems for hardness of approximation in p"
    - "on the parameterized complexity of approximating dominating set"
    - "improved rectangular matrix multiplication using powers of the coppersmith winograd tensor"
    - "on the complexity of closest pair via polar pair of point sets"
    - "a framework for similarity search with space time tradeoffs using locality sensitive filtering"

Connected through hyperedge HE-7 (induced by source paper "set similarity search for skewed data"):
  with members:
    - "distributed pcp theorems for hardness of approximation in p"
    - "embedjoin efficient edit similarity joins via embeddings"
    - "scalable and robust set similarity join"
    - "a framework for similarity search with space time tradeoffs using locality sensitive filtering"
    - "optimal hashing based time space trade offs for approximate near neighbors"
    - "on the complexity of inner product similarity join"
    - "explicit correlation amplifiers for finding outlier correlations in deterministic subquadratic time"
    - "set similarity search beyond minhash"

Connected through hyperedge HE-8 (induced by source paper "hardness of approximate nearest neighbor search"):
  with members:
    - "on the hardness of approximate and exact bichromatic maximum inner product"
    - "distributed pcp theorems for hardness of approximation in p"
    - "optimal las vegas locality sensitive data structures"
    - "randomized approximate nearest neighbor search with limited adaptivity"
    - "the curse of medium dimension for geometric problems in almost every norm"
    - "optimal hashing based time space trade offs for approximate near neighbors"
    - "a faster subquadratic algorithm for finding outlier correlations"
    - "practical and optimal lsh for angular distance"

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.DS(Data Structures and Algorithms)