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: "the shape of the search tree for the maximum clique problem and the implications for parallel branch and bound"
  Abstract: Finding a maximum clique in a given graph is one of the fundamental NP-hard problems. We compare two multi-core thread-parallel adaptations of a state-of-the-art branch and bound algorithm for the maximum clique problem, and provide a novel explanation as to why they are successful. We show that load balance is sometimes a problem, but that the interaction of parallel search order and the most likely location of solutions within the search space is often the dominating consideration. We use this explanation to propose a new low-overhead, scalable work splitting mechanism. Our approach uses explicit early diversity to avoid strong commitment to the weakest heuristic advice, and late resplitting for balance. More generally, we argue that for branch and bound, parallel algorithm design should not be performed independently of the underlying sequential algorithm.

Connected through hyperedge HE-1 (induced by source paper "a review of literature on parallel constraint solving"):
  with members:
    - "parallel strategies selection"
    - "solving and verifying the boolean pythagorean triples problem via cube and conquer"
    - "a multicore tool for constraint solving"
    - "hordesat a massively parallel portfolio sat solver"
    - "proteus a hierarchical portfolio of solvers and transformations"
    - "asymmetric distributed constraint optimization problems"
    - "algorithm selection for combinatorial search problems a survey"
    - "distributed solving through model splitting"

Connected through hyperedge HE-2 (induced by source paper "replicable parallel branch and bound search"):
  with members:
    - "exact algorithms for maximum clique a computational study"
    - "exact algorithms for maximum clique a computational study"

Connected through hyperedge HE-3 (induced by source paper "mts a light framework for parallelizing tree search codes"):
  with members:
    - "an analysis of budgeted parallel search on conditional galton watson trees"
    - "a parallel framework for reverse search using mts"
    - "solving and verifying the boolean pythagorean triples problem via cube and conquer"
    - "mplrs a scalable parallel vertex facet enumeration code"

Connected through hyperedge HE-4 (induced by source paper "an analysis of budgeted parallel search on conditional galton watson trees"):
  with members:
    - "a parallel framework for reverse search using mts"
    - "mplrs a scalable parallel vertex facet enumeration code"

Connected through hyperedge HE-5 (induced by source paper "mplrs a scalable parallel vertex facet enumeration code"):
  with members:
    - "an analysis of budgeted parallel search on conditional galton watson trees"
    - "a parallel framework for reverse search using mts"
    - "faster geometric algorithms via dynamic determinant computation"
    - "hordesat a massively parallel portfolio sat solver"
    - "bounds on multiple sensor fusion"
    - "the parma polyhedra library toward a complete set of numerical abstractions for the analysis and verification of hardware and software systems"

Connected through hyperedge HE-6 (induced by source paper "a parallel branch and bound algorithm for the maximum labelled clique problem"):
  with members:
    - "exact algorithms for maximum clique a computational study"
    - "exact algorithms for maximum clique a computational study"

Connected through hyperedge HE-7 (induced by source paper "case studies and challenges in reproducibility in the computational sciences"):
  with members:
    - "the recomputation manifesto"

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.DC(Distributed, Parallel, and Cluster Computing)