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: "efficient coalgebraic partition refinement"
  Abstract: We present a generic partition refinement algorithm that quotients coalgebraic systems by behavioural equivalence, an important task in reactive verification; coalgebraic generality implies in particular that we cover not only classical relational systems but also various forms of weighted systems. Under assumptions on the type functor that allow representing its finite coalgebras in terms of nodes and edges, our algorithm runs in time $\mathcal{O}(m\cdot \log n)$ where $n$ and $m$ are the numbers of nodes and edges, respectively. Instances of our generic algorithm thus match the runtime of the best known algorithms for unlabelled transition systems, Markov chains, and deterministic automata (with fixed alphabets), and improve the best known algorithms for Segala systems.

Connected through hyperedge HE-1 (induced by source paper "explaining non bisimilarity in a coalgebraic approach games and distinguishing formulas"):
  with members:
    - "codensity games for bisimilarity"
    - "predicate liftings and functor presentations in coalgebraic expression languages"
    - "games for bisimulations and abstraction"
    - "metric bisimulation games and real valued modal logics for coalgebras"
    - "simulations and bisimulations for coalgebraic modal logics"

Connected through hyperedge HE-2 (induced by source paper "automata learning an algebraic approach"):
  with members:
    - "tree automata as algebras minimisation and determinisation"
    - "coalgebra learning via duality"
    - "generic partition refinement and weighted tree automata"
    - "learning nominal automata"
    - "calf categorical automata learning framework"
    - "learning automata with side effects"
    - "eilenberg theorems for free"
    - "syntactic monoids in a category"

Connected through hyperedge HE-3 (induced by source paper "tree automata as algebras minimisation and determinisation"):
  with members:
    - "coalgebra learning via duality"
    - "coalgebraic trace semantics via forgetful logics"
    - "generic trace semantics via coinduction"

Connected through hyperedge HE-4 (induced by source paper "generic partition refinement and weighted tree automata"):
  with members:
    - "efficient and modular coalgebraic partition refinement"
    - "tight lower and upper bounds for the complexity of canonical colour refinement"
    - "automata theory in nominal sets"
    - "generalizing the paige tarjan algorithm by abstract interpretation"

Connected through hyperedge HE-5 (induced by source paper "efficient and modular coalgebraic partition refinement"):
  with members:
    - "generic partition refinement and weighted tree automata"
    - "a new foundation for finitary corecursion and iterative algebras"
    - "tight lower and upper bounds for the complexity of canonical colour refinement"
    - "generalizing the paige tarjan algorithm by abstract interpretation"

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)