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: "restricted max min fair allocation"
  Abstract: The restricted max-min fair allocation problem seeks an allocation of resources to players that maximizes the minimum total value obtained by any player. It is NP-hard to approximate the problem to a ratio less than 2. Comparing the current best algorithm for estimating the optimal value with the current best for constructing an allocation, there is quite a gap between the ratios that can be achieved in polynomial time: roughly 4 for estimation and roughly $6 + 2\sqrt{10}$ for construction. We propose an algorithm that constructs an allocation with value within a factor of $6 + \delta$ from the optimum for any constant $\delta > 0$. The running time is polynomial in the input size for any constant $\delta$ chosen.

Connected through hyperedge HE-1 (induced by source paper "inapproximability results for scheduling with interval and resource restrictions"):
  with members:
    - "local search breaks 1 75 for graph balancing"
    - "a tale of santa claus hypergraphs and matroids"
    - "structural parameters for scheduling with assignment restrictions"
    - "a quasi polynomial approximation for the restricted assignment problem"
    - "ptas for ordered instances of resource allocation problems with restrictions on inclusions"
    - "graph balancing with two edge types"
    - "a combinatorial approximation algorithm for graph balancing with light hyper edges"
    - "combinatorial algorithm for restricted max min fair allocation"

Connected through hyperedge HE-2 (induced by source paper "restricted max min allocation approximation and integrality gap"):
  with members:
    - "integrality gap of the configuration lp for the restricted max min fair allocation"
    - "a tale of santa claus hypergraphs and matroids"
    - "combinatorial algorithm for restricted max min fair allocation"
    - "quasi polynomial local search for restricted max min fair allocation"
    - "a new approximation technique for resource allocation problems"
    - "new constructive aspects of the lovasz local lemma"
    - "on allocating goods to maximize fairness"

Connected through hyperedge HE-3 (induced by source paper "a tale of santa claus hypergraphs and matroids"):
  with members:
    - "integrality gap of the configuration lp for the restricted max min fair allocation"
    - "local search breaks 1 75 for graph balancing"
    - "finding perfect matchings in bipartite hypergraphs"
    - "santa claus schedules jobs on unrelated machines"
    - "on allocating goods to maximize fairness"

Connected through hyperedge HE-4 (induced by source paper "integrality gap of the configuration lp for the restricted max min fair allocation"):
  with members:
    - "on 1 epsilon restricted max min fair allocation problem"
    - "a new approximation technique for resource allocation problems"
    - "santa claus schedules jobs on unrelated machines"

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)