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: "parameterizing by the number of numbers"
  Abstract: The usefulness of parameterized algorithmics has often depended on what Niedermeier has called “the art of problem parameterization”. In this paper we introduce and explore a novel but general form of parameterization: the number of numbers. Several classic numerical problems, such as Subset Sum, Partition, 3-Partition, Numerical 3-Dimensional Matching, and Numerical Matching with Target Sums, have multisets of integers as input. We initiate the study of parameterizing these problems by the number of distinct integers in the input. We rely on an FPT result for Integer Linear Programming Feasibility to show that all the above-mentioned problems are fixed-parameter tractable when parameterized in this way. In various applied settings, problem inputs often consist in part of multisets of integers or multisets of weighted objects (such as edges in a graph, or jobs to be scheduled). Such number-of-numbers parameterized problems often reduce to subproblems about transition systems of various kinds, parameterized by the size of the system description. We consider several core problems of this kind relevant to number-of-numbers parameterization. Our main hardness result considers the problem: given a non-deterministic Mealy machine M (a finite state automaton outputting a letter on each transition), an input word x, and a census requirement c for the output word specifying how many times each letter of the output alphabet should be written, decide whether there exists a computation of M reading x that outputs a word y that meets the requirement c. We show that this problem is hard for W[1]. If the question is whether there exists an input word x such that a computation of M on x outputs a word that meets c, the problem becomes fixed-parameter tractable.

Connected through hyperedge HE-1 (induced by source paper "combinatorial n fold integer programming and applications"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "on integer programming and convolution"
    - "scheduling meets n fold integer programming"
    - "the complexity landscape of decompositional parameters for ilp"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "simplified algorithmic metatheorems beyond mso treewidth and neighborhood diversity"
    - "voting and bribing in single exponential time"
    - "about the structure of the integer cone and its application to bin packing"

Connected through hyperedge HE-2 (induced by source paper "knapsack problems a parameterized point of view"):
  with members:
    - "polynomial kernels for weighted problems"

Connected through hyperedge HE-3 (induced by source paper "polynomial kernels for weighted problems"):
  with members:
    - "fixed parameter algorithms for minimum cost edge connectivity augmentation"
    - "on polynomial kernels for integer linear programs covering packing and feasibility"
    - "kernelization lower bounds by cross composition"
    - "reducing a target interval to a few exact queries"

Connected through hyperedge HE-4 (induced by source paper "interval scheduling and colorful independent sets"):
  with members:
    - "kernelization lower bounds by cross composition"
    - "cross composition a new technique for kernelization lower bounds"

Connected through hyperedge HE-5 (induced by source paper "scheduling meets fixed parameter tractability"):
  with members:
    - "polynomiality for bin packing with a constant number of item types"
    - "santa claus schedules jobs on unrelated machines"
    - "the geometry of scheduling"

Connected through hyperedge HE-6 (induced by source paper "the complexity of probabilistic lobbying"):
  with members:
    - "manipulation of nanson s and baldwin s rules"
    - "complexity of and algorithms for borda manipulation"
    - "control complexity in fallback voting"
    - "the shield that never was societies with single peaked preferences are more open to manipulation and control"
    - "sincere strategy preference based approval voting fully resists constructive control and broadly resists destructive control"
    - "satzilla portfolio based algorithm selection for sat"
    - "llull and copeland voting computationally resist bribery and control"
    - "on approximating optimal weighted lobbying and frequency of correctness versus average case polynomial time"

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)