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: "combinatorial algorithm for restricted max min fair allocation"
  Abstract: We study the basic allocation problem of assigning resources to players so as to maximize fairness. This is one of the few natural problems that enjoys the intriguing status of having a better estimation algorithm than approximation algorithm. Indeed, a certain configuration-LP can be used to estimate the value of the optimal allocation to within a factor of $4 + {\epsilon}$. In contrast, however, the best known approximation algorithm for the problem has an unspecified large constant guarantee. #R##N#In this paper we significantly narrow this gap by giving a $13$-approximation algorithm for the problem. Our approach develops a local search technique introduced by Haxell [Hax95] for hypergraph matchings, and later used in this context by Asadpour, Feige, and Saberi [AFS12]. For our local search procedure to terminate in polynomial time, we introduce several new ideas such as lazy updates and greedy players. Besides the improved approximation guarantee, the highlight of our approach is that it is purely combinatorial and uses the configuration-LP only in the analysis.

Connected through hyperedge HE-1 (induced by source paper "approximating nash social welfare under submodular valuations through un matchings"):
  with members:
    - "on fair division of indivisible items"
    - "a tale of santa claus hypergraphs and matroids"
    - "approximating the nash social welfare with budget additive valuations"
    - "finding fair and efficient allocations"
    - "convex program duality fisher markets and nash social welfare"
    - "nash social welfare for indivisible items under separable piecewise linear concave utilities"
    - "nash social welfare matrix permanent and stable polynomials"
    - "apx hardness of maximizing nash social welfare with indivisible items"

Connected through hyperedge HE-2 (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"
    - "restricted max min fair allocation"
    - "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"

Connected through hyperedge HE-3 (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"
    - "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-4 (induced by source paper "fair allocation of indivisible goods improvement and generalization"):
  with members:
    - "fair allocation of indivisible goods to asymmetric agents"
    - "approximation algorithms for computing maximin share allocations"
    - "approximate maximin shares for groups of agents"
    - "combinatorial auctions via posted prices"
    - "bayesian games and the smoothness framework"
    - "constrained non monotone submodular maximization offline and secretary algorithms"
    - "on allocating goods to maximize fairness"
    - "combinatorial auctions with decreasing marginal utilities"

Connected through hyperedge HE-5 (induced by source paper "a quasi polynomial approximation for the restricted assignment problem"):
  with members:
    - "on the configuration lp of the restricted assignment problem"
    - "lazy local search meets machine scheduling"
    - "on 1 epsilon restricted assignment makespan minimization"
    - "quasi polynomial local search for restricted max min fair allocation"
    - "santa claus schedules jobs on unrelated machines"

Connected through hyperedge HE-6 (induced by source paper "on 1 epsilon restricted max min fair allocation problem"):
  with members:
    - "on 1 epsilon restricted assignment makespan minimization"
    - "quasi polynomial local search for restricted max min fair allocation"
    - "santa claus schedules jobs on unrelated machines"
    - "new constructive aspects of the lovasz local lemma"
    - "on allocating goods to maximize fairness"

Connected through hyperedge HE-7 (induced by source paper "on the configuration lp of the restricted assignment problem"):
  with members:
    - "a combinatorial approximation algorithm for graph balancing with light hyper edges"
    - "quasi polynomial local search for restricted max min fair allocation"
    - "santa claus schedules jobs on unrelated machines"

Connected through hyperedge HE-8 (induced by source paper "finding perfect matchings in bipartite hypergraphs"):
  with members:
    - "improved approximation for 3 dimensional matching via bounded pathwidth local search"
    - "large neighborhood local search for the maximum set packing problem"
    - "navigating central path with electrical flows from flows to matchings and back"
    - "quasi polynomial local search for restricted max min fair allocation"
    - "santa claus schedules jobs on unrelated machines"
    - "new constructive aspects of the lovasz local lemma"

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)