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 minimal hitting set generation problem algorithms and computation"
  Abstract: Finding inclusion-minimal "hitting sets" for a given collection of sets is a fundamental combinatorial problem with applications in domains as diverse as Boolean algebra, computational biology, and data mining. Much of the algorithmic literature focuses on the problem of *recognizing* the collection of minimal hitting sets; however, in many of the applications, it is more important to *generate* these hitting sets. We survey twenty algorithms from across a variety of domains, considering their history, classification, useful features, and computational performance on a variety of synthetic and real-world inputs. We also provide a suite of implementations of these algorithms with a ready-to-use, platform-agnostic interface based on Docker containers and the AlgoRun framework, so that interested computational scientists can easily perform similar tests with inputs from their own research areas on their own computers or through a convenient Web interface.

Connected through hyperedge HE-1 (induced by source paper "query oriented text summarization based on hypergraph transversals"):
  with members:
    - "different approaches for identifying important concepts in probabilistic biomedical text summarization"
    - "learning topic models going beyond svd"
    - "lexrank graph based lexical centrality as salience in text summarization"
    - "the google similarity distance"

Connected through hyperedge HE-2 (induced by source paper "multi hop byzantine reliable broadcast with honest dealer made practical"):
  with members:
    - "multi hop byzantine reliable broadcast made practical"
    - "efficient algorithms for dualizing large scale hypergraphs"
    - "discovering network topology in the presence of byzantine faults"

Connected through hyperedge HE-3 (induced by source paper "multi hop byzantine reliable broadcast made practical"):
  with members:
    - "efficient algorithms for dualizing large scale hypergraphs"
    - "discovering network topology in the presence of byzantine faults"

Connected through hyperedge HE-4 (induced by source paper "efficiently enumerating hitting sets of hypergraphs arising in data profiling"):
  with members:
    - "exploiting hidden structure in selecting dimensions that distinguish vectors"
    - "randomised enumeration of small witnesses using a decision oracle"
    - "efficient enumeration of solutions produced by closure operations"
    - "a polynomial delay algorithm for enumerating minimal dominating sets in chordal graphs"
    - "paradigms for parameterized enumeration"
    - "efficient algorithms for dualizing large scale hypergraphs"
    - "new results on monotone dualization and generating hypergraph transversals"
    - "incremental recompilation of knowledge"

Connected through hyperedge HE-5 (induced by source paper "implementing efficient all solutions sat solvers"):
  with members:
    - "applying formal methods to networking theory techniques and applications"
    - "efficient algorithms for dualizing large scale hypergraphs"
    - "the language of search"
    - "conflict directed backjumping revisited"

Connected through hyperedge HE-6 (induced by source paper "compressed representation of learning spaces"):
  with members:
    - "the joy of implications aka pure horn functions mainly a survey"
    - "compactly generating all satisfying truth assignments of a horn formula"

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)