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: "an improved bound for minimizing the total weighted completion time of coflows in datacenters"
  Abstract: In data-parallel computing frameworks, intermediate parallel data is often produced at various stages which needs to be transferred among servers in the datacenter network (e.g. the shuffle phase in MapReduce). A stage often cannot start or be completed unless all the required data pieces from the preceding stage are received. \emph{Coflow} is a recently proposed networking abstraction to capture such communication patterns. We consider the problem of efficiently scheduling coflows with release dates in a shared datacenter network so as to minimize the total weighted completion time of coflows. #R##N#Several heuristics have been proposed recently to address this problem, as well as a few polynomial-time approximation algorithms with provable performance guarantees. Our main result in this paper is a polynomial-time deterministic algorithm that improves the prior known results. Specifically, we propose a deterministic algorithm with approximation ratio of $5$, which improves the prior best known ratio of $12$. For the special case when all coflows are released at time zero, our deterministic algorithm obtains approximation ratio of $4$ which improves the prior best known ratio of $8$. The key ingredient of our approach is an improved linear program formulation for sorting the coflows followed by a simple list scheduling policy. Extensive simulation results, using both synthetic and real traffic traces, are presented that verify the performance of our algorithm and show improvement over the prior approaches.

Connected through hyperedge HE-1 (induced by source paper "near optimal coflow scheduling in networks"):
  with members:
    - "terra scalable cross layer gda optimizations"
    - "constant factor approximation algorithm for weighted flow time on a single machine in pseudo polynomial time"
    - "a polynomial time constant approximation for minimizing total weighted flow time"
    - "stochastic non preemptive co flow scheduling with time indexed relaxation"
    - "select and permute an improved online framework for scheduling to minimize weighted completion time"
    - "asymptotically optimal approximation algorithms for coflow scheduling"

Connected through hyperedge HE-2 (induced by source paper "minimization of weighted completion times in path based coflow scheduling"):
  with members:
    - "near optimal coflow scheduling in networks"
    - "coflow scheduling in data centers routing and bandwidth allocation"
    - "a tight approximation for co flow scheduling for minimizing total weighted completion time"
    - "asymptotically optimal approximation algorithms for coflow scheduling"

Connected through hyperedge HE-3 (induced by source paper "scheduling stochastic real time jobs in unreliable workers"):
  with members:
    - "timely throughput optimal coded computing over cloud networks"
    - "speeding up distributed machine learning using codes"
    - "coflow scheduling in input queued switches optimal delay scaling and algorithms"

Connected through hyperedge HE-4 (induced by source paper "flow time optimization for concurrent open shop and precedence constrained scheduling models"):
  with members:
    - "scheduling to minimize total weighted completion time via time indexed linear programming relaxations"
    - "almost polynomial ratio eth hardness of approximating densest k subgraph"
    - "a 1 epsilon approximation for makespan scheduling with precedence constraints using lp hierarchies"
    - "competitive algorithms from competitive equilibria non clairvoyant scheduling under polyhedral constraints"
    - "selfishmigrate a scalable algorithm for non clairvoyantly scheduling heterogeneous processors"
    - "the geometry of scheduling"

Connected through hyperedge HE-5 (induced by source paper "a tight approximation for co flow scheduling for minimizing total weighted completion time"):
  with members:
    - "select and permute an improved online framework for scheduling to minimize weighted completion 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)