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: "when equivalence and bisimulation join forces in probabilistic automata"
  Abstract: Probabilistic automata were introduced by Rabin in 1963 as language acceptors. Two automata are equivalent if and only if they accept each word with the same probability. On the other side, in the process algebra community, probabilistic automata were re-proposed by Segala in 1995 which are more general than Rabin's automata. Bisimulations have been proposed for Segala's automata to characterize the equivalence between them. So far the two notions of equivalences and their characteristics have been studied most independently. In this paper, we consider Segala's automata, and propose a novel notion of distribution based bisimulation by joining the existing equivalence and bisimilarities. Our bisimulation bridges the two closely related concepts in the community, and provides a uniform way of studying their characteristics. We demonstrate the utility of our definition by studying distribution based bisimulation metrics, which gives rise to a robust notion of equivalence for Rabin's automata.

Connected through hyperedge HE-1 (induced by source paper "the theory of traces for systems with nondeterminism and probability"):
  with members:
    - "trace and testing metrics on nondeterministic probabilistic processes"
    - "convex language semantics for nondeterministic probabilistic automata"
    - "mixed powerdomains for probability and nondeterminism"
    - "the power of convex algebras"
    - "termination in convex sets of distributions"
    - "a convenient category for higher order probability theory"
    - "layer by layer combining monads"
    - "distribution based bisimulation for labelled markov processes"

Connected through hyperedge HE-2 (induced by source paper "the power of convex algebras"):
  with members:
    - "termination in convex sets of distributions"
    - "a convenient category for higher order probability theory"
    - "high level counterexamples for probabilistic automata"
    - "robust synchronization in markov decision processes"
    - "probabilistic bisimulation naturally on distributions"
    - "coinduction up to in a fibrational setting"
    - "church a language for generative models"
    - "relating coalgebraic notions of bisimulation"

Connected through hyperedge HE-3 (induced by source paper "distribution based bisimulation for labelled markov processes"):
  with members:
    - "probabilistic bisimulation naturally on distributions"
    - "unprovability of the logical characterization of bisimulation"
    - "approximating a behavioural pseudometric without discount for probabilistic systems"

Connected through hyperedge HE-4 (induced by source paper "logical characterization of bisimulation metrics"):
  with members:
    - "divide and congruence ii from decomposition of modal formulas to preservation of delay and weak bisimilarity"
    - "modal characterisations of behavioural pseudometrics"
    - "topologies of stochastic markov models computational aspects"
    - "probabilistic bisimulation naturally on distributions"
    - "fixed point characterization of compositionality properties of probabilistic processes combinators"
    - "continuous markovian logics axiomatization and quantified metatheory"
    - "logical metric and algorithmic characterisations of probabilistic bisimulation"
    - "characterising probabilistic processes logically"

Connected through hyperedge HE-5 (induced by source paper "modal characterisations of behavioural pseudometrics"):
  with members:
    - "probabilistic bisimulation naturally on distributions"
    - "bisimulations for nondeterministic labeled markov processes"
    - "algorithms for game metrics"
    - "approximating a behavioural pseudometric without discount for probabilistic systems"
    - "game refinement relations and metrics"

Connected through hyperedge HE-6 (induced by source paper "trace refinement in labelled markov decision processes"):
  with members:
    - "probabilistic bisimulation naturally on distributions"
    - "stability and complexity of minimising probabilistic automata"
    - "reachability in two clock timed automata is pspace complete"
    - "computing a nonnegative matrix factorization provably"
    - "on the complexity of nonnegative matrix factorization"

Connected through hyperedge HE-7 (induced by source paper "probabilistic bisimulation naturally on distributions"):
  with members:
    - "robust synchronization in markov decision processes"
    - "bisimulations meet pctl equivalences for probabilistic automata"
    - "late weak bisimulation for markov automata"
    - "deciding probabilistic automata weak bisimulation in polynomial time"
    - "mean field for markov decision processes from discrete to continuous optimization"
    - "qualitative analysis of partially observable markov decision processes"

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.LO(Logic in Computer Science)