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: "leaderless deterministic chemical reaction networks"
  Abstract: This paper answers an open question of Chen, Doty, and Soloveichik [1], who showed that a function f:N^k --> N^l is deterministically computable by a stochastic chemical reaction network (CRN) if and only if the graph of f is a semilinear subset of N^{k+l}. That construction crucially used "leaders": the ability to start in an initial configuration with constant but non-zero counts of species other than the k species X_1,...,X_k representing the input to the function f. The authors asked whether deterministic CRNs without a leader retain the same power. #R##N#We answer this question affirmatively, showing that every semilinear function is deterministically computable by a CRN whose initial configuration contains only the input species X_1,...,X_k, and zero counts of every other species. We show that this CRN completes in expected time O(n), where n is the total number of input molecules. This time bound is slower than the O(log^5 n) achieved in [1], but faster than the O(n log n) achieved by the direct construction of [1] (Theorem 4.1 in the latest online version of [1]), since the fast construction of that paper (Theorem 4.4) relied heavily on the use of a fast, error-prone CRN that computes arbitrary computable functions, and which crucially uses a leader.

Connected through hyperedge HE-1 (induced by source paper "composable computation in discrete chemical reaction networks"):
  with members:
    - "efficient size estimation and impossibility of termination in uniform dense population protocols"
    - "output oblivious stochastic chemical reaction networks"
    - "fast space optimal leader election in population protocols"
    - "composable rate independent computation in continuous chemical reaction networks"
    - "hardness of computing and approximating predicates and functions with leaderless population protocols"
    - "space optimal majority in population protocols"
    - "time space trade offs in molecular computation"
    - "time space trade offs in population protocols"

Connected through hyperedge HE-2 (induced by source paper "efficient size estimation and impossibility of termination in uniform dense population protocols"):
  with members:
    - "on counting the population size"
    - "population protocols are fast"
    - "almost logarithmic time space optimal leader election in population protocols"
    - "fast space optimal leader election in population protocols"
    - "logarithmic expected time leader election in population protocol model"
    - "hardness of computing and approximating predicates and functions with leaderless population protocols"
    - "space optimal majority in population protocols"
    - "time space trade offs in population protocols"

Connected through hyperedge HE-3 (induced by source paper "computing with chemical reaction networks a tutorial"):
  with members:
    - "hardness of computing and approximating predicates and functions with leaderless population protocols"
    - "verifying chemical reaction network implementations a pathway decomposition approach"
    - "democratic existential and consensus based output conventions in stable computation by chemical reaction networks"
    - "programming discrete distributions with chemical reaction networks"
    - "reachability problems for continuous chemical reaction networks"
    - "stable leader election in population protocols requires linear time"
    - "dominance and deficiency for petri nets and chemical reaction networks"
    - "minimal output unstable configurations in chemical reaction networks and deciders"

Connected through hyperedge HE-4 (induced by source paper "hardness of computing and approximating predicates and functions with leaderless population protocols"):
  with members:
    - "fast space optimal leader election in population protocols"
    - "robustness of expressivity in chemical reaction networks"
    - "democratic existential and consensus based output conventions in stable computation by chemical reaction networks"
    - "how many cooks spoil the soup"
    - "stable leader election in population protocols requires linear time"
    - "timing in chemical reaction networks"
    - "deterministic function computation with chemical reaction networks"
    - "passively mobile communicating machines that use restricted space"

Connected through hyperedge HE-5 (induced by source paper "computational complexity of atomic chemical reaction networks"):
  with members:
    - "robustness of expressivity in chemical reaction networks"
    - "time space trade offs in molecular computation"
    - "time space trade offs in population protocols"
    - "timing in chemical reaction networks"
    - "deterministic function computation with chemical reaction networks"

Connected through hyperedge HE-6 (induced by source paper "how many cooks spoil the soup"):
  with members:
    - "terminating distributed construction of shapes and patterns in a fair solution of automata"
    - "on convergence and threshold properties of discrete lotka volterra population protocols"
    - "stable leader election in population protocols requires linear time"
    - "netcs a new simulator of population protocols and network constructors"
    - "simple and efficient local codes for distributed stable network construction"
    - "timing in chemical reaction networks"
    - "deterministic function computation with chemical reaction networks"
    - "near optimal leader election in multi hop radio networks"

Connected through hyperedge HE-7 (induced by source paper "democratic existential and consensus based output conventions in stable computation by chemical reaction networks"):
  with members:
    - "robust detection in leak prone population protocols"
    - "robustness of expressivity in chemical reaction networks"
    - "time space trade offs in population protocols"
    - "stable leader election in population protocols requires linear time"
    - "output stability and semilinear sets in chemical reaction networks and deciders"
    - "deterministic function computation with chemical reaction networks"
    - "the computational power of population protocols"

Connected through hyperedge HE-8 (induced by source paper "robustness of expressivity in chemical reaction networks"):
  with members:
    - "time space trade offs in population protocols"
    - "stable leader election in population protocols requires linear time"
    - "output stability and semilinear sets in chemical reaction networks and deciders"
    - "deterministic function computation with chemical reaction networks"
    - "the computational power of population protocols"

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.CC(Computational Complexity)