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: "santa claus schedules jobs on unrelated machines"
  Abstract: One of the classic results in scheduling theory is the 2-approximation algorithm by Lenstra, Shmoys, and Tardos for the problem of scheduling jobs to minimize makespan on unrelated machines, i.e., job j requires time p_{ij} if processed on machine i. More than two decades after its introduction it is still the algorithm of choice even in the restricted model where processing times are of the form p_{ij} in {p_j, \infty}. This problem, also known as the restricted assignment problem, is NP-hard to approximate within a factor less than 1.5 which is also the best known lower bound for the general version. #R##N#Our main result is a polynomial time algorithm that estimates the optimal makespan of the restricted assignment problem within a factor 33/17 + \epsilon \approx 1.9412 + \epsilon, where \epsilon > 0 is an arbitrarily small constant. The result is obtained by upper bounding the integrality gap of a certain strong linear program, known as configuration LP, that was previously successfully used for the related Santa Claus problem. Similar to the strongest analysis for that problem our proof is based on a local search algorithm that will eventually find a schedule of the mentioned approximation guarantee, but is not known to converge in polynomial time.

Connected through hyperedge HE-1 (induced by source paper "weighted completion time minimization for unrelated machines via iterative fair contention resolution"):
  with members:
    - "scheduling to minimize total weighted completion time via time indexed linear programming relaxations"
    - "unrelated machine scheduling of jobs with uniform smith ratios"
    - "better unrelated machine scheduling for weighted completion time via random offsets from non uniform distributions"
    - "lift and round to improve weighted completion time on unrelated machines"
    - "minimizing flow time on unrelated machines"
    - "on allocating goods to maximize fairness"

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 "breaking symmetries to rescue sum of squares the case of makespan scheduling"):
  with members:
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "the power of sum of squares for detecting hidden structures"
    - "sum of squares lower bounds for refuting any csp"
    - "quasi ptas for scheduling with precedences using lp hierarchies"
    - "a nearly tight sum of squares lower bound for the planted clique problem"
    - "polynomial time tensor decompositions with sum of squares"
    - "closing the gap for makespan scheduling via sparsification techniques"
    - "on the hardest problem formulations for the 0 1 lasserre hierarchy"

Connected through hyperedge HE-4 (induced by source paper "approximation algorithms for minimum norm and ordered optimization problems"):
  with members:
    - "constant factor approximation for ordered k median"
    - "approximate near neighbors for general symmetric norms"
    - "better guarantees for k means and euclidean k median by primal dual algorithms"
    - "on the configuration lp of the restricted assignment problem"
    - "streaming symmetric norms via measure concentration"
    - "an improved approximation for k median and positive correlation in budgeted optimization"
    - "approximating k median via pseudo approximation"
    - "simpler analyses of local search algorithms for facility location"

Connected through hyperedge HE-5 (induced by source paper "local search breaks 1 75 for graph balancing"):
  with members:
    - "a quasi polynomial approximation for the restricted assignment problem"
    - "lazy local search meets machine scheduling"
    - "a combinatorial approximation algorithm for graph balancing with light hyper edges"
    - "quasi polynomial local search for restricted max min fair allocation"
    - "on allocating goods to maximize fairness"

Connected through hyperedge HE-6 (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"
    - "restricted max min fair allocation"
    - "finding perfect matchings in bipartite hypergraphs"
    - "on allocating goods to maximize fairness"

Connected through hyperedge HE-7 (induced by source paper "scheduling on un related machines with setup times"):
  with members:
    - "empowering the configuration ip new ptas results for scheduling with setups times"
    - "a quasi polynomial approximation for the restricted assignment problem"
    - "symmetry exploitation for online machine covering with bounded migration"
    - "non preemptive scheduling on machines with setup times"

Connected through hyperedge HE-8 (induced by source paper "integrality gap of the configuration lp for the restricted max min fair allocation"):
  with members:
    - "restricted max min fair allocation"
    - "on 1 epsilon restricted max min fair allocation problem"
    - "a new approximation technique for resource allocation problems"

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)