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: "democratic existential and consensus based output conventions in stable computation by chemical reaction networks"
  Abstract: We show that some natural output conventions for error-free computation in chemical reaction networks (CRN) lead to a common level of computational expressivity. Our main results are that the standard consensus-based output convention have equivalent computational power to (1) existence-based and (2) democracy-based output conventions. The CRNs using the former output convention have only "yes" voters, with the interpretation that the CRN's output is yes if any voters are present and no otherwise. The CRNs using the latter output convention define output by majority vote among "yes" and "no" voters. #R##N#Both results are proven via a generalized framework that simultaneously captures several definitions, directly inspired by a Petri net result of Esparza, Ganty, Leroux, and Majumder [CONCUR 2015]. These results support the thesis that the computational expressivity of error-free CRNs is intrinsic, not sensitive to arbitrary definitional choices.

Connected through hyperedge HE-1 (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"
    - "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"
    - "leaderless deterministic chemical reaction networks"

Connected through hyperedge HE-2 (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"
    - "how many cooks spoil the soup"
    - "stable leader election in population protocols requires linear time"
    - "leaderless deterministic chemical reaction networks"
    - "timing in chemical reaction networks"
    - "deterministic function computation with chemical reaction networks"
    - "passively mobile communicating machines that use restricted space"

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.ET(Emerging Technologies)