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: "parallel computation using active self assembly"
  Abstract: We study the computational complexity of the recently proposed nubot model of molecular-scale self-assembly. The model generalises asynchronous cellular automata to have non-local movement where large assemblies of molecules can be pushed and pulled around, analogous to millions of molecular motors in animal muscle effecting the rapid movement of macroscale arms and legs. We show that the nubot model is capable of simulating Boolean circuits of polylogarithmic depth and polynomial size, in only polylogarithmic expected time. In computational complexity terms, we show that any problem from the complexity class NC is solvable in polylogarithmic expected time and polynomial workspace using nubots. #R##N#Along the way, we give fast parallel nubot algorithms for a number of problems including line growth, sorting, Boolean matrix multiplication and space-bounded Turing machine simulation, all using a constant number of nubot states (monomer types). Circuit depth is a well-studied notion of parallel time, and our result implies that the nubot model is a highly parallel model of computation in a formal sense. Asynchronous cellular automata are not capable of this parallelism, and our result shows that adding a rigid-body movement primitive to such a model, to get the nubot model, drastically increases parallel processing abilities.

Connected through hyperedge HE-1 (induced by source paper "on the runtime of universal coating for programmable matter"):
  with members:
    - "improved leader election for self organizing programmable matter"
    - "universal coating for programmable matter"
    - "an algorithmic framework for shape formation problems in self organizing particle systems"
    - "leader election and shape formation with self organizing programmable matter"
    - "simple and efficient local codes for distributed stable network construction"
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "intrinsic universality and the computational power of self assembly"
    - "physarum can compute shortest paths"

Connected through hyperedge HE-2 (induced by source paper "a stochastic approach to shortcut bridging in programmable matter"):
  with members:
    - "improved leader election for self organizing programmable matter"
    - "universal coating for programmable matter"
    - "a markov chain algorithm for compression in self organizing particle systems"
    - "leader election and shape formation with self organizing programmable matter"
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "intrinsic universality and the computational power of self assembly"

Connected through hyperedge HE-3 (induced by source paper "improved leader election for self organizing programmable matter"):
  with members:
    - "on the runtime of universal coating for programmable matter"
    - "a markov chain algorithm for compression in self organizing particle systems"
    - "an algorithmic framework for shape formation problems in self organizing particle systems"
    - "leader election and shape formation with self organizing programmable matter"
    - "fast algorithmic self assembly of simple shapes using random agitation"
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "intrinsic universality and the computational power of self assembly"
    - "a distributed algorithm for gathering many fat mobile robots in the plane"

Connected through hyperedge HE-4 (induced by source paper "terminating distributed construction of shapes and patterns in a fair solution of automata"):
  with members:
    - "on the transformation capability of feasible mechanisms for programmable matter"
    - "universal shape replicators via self assembly with attractive and repulsive forces"
    - "simple and efficient local codes for distributed stable network construction"
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "ameba inspired self organizing particle systems"
    - "timing in chemical reaction networks"
    - "deterministic function computation with chemical reaction networks"
    - "asynchronous signal passing for tile self assembly fuel efficient computation and efficient assembly of shapes"

Connected through hyperedge HE-5 (induced by source paper "an algorithmic framework for shape formation problems in self organizing particle systems"):
  with members:
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "intrinsic universality and the computational power of self assembly"

Connected through hyperedge HE-6 (induced by source paper "more tight bounds for active self assembly using an insertion primitive"):
  with members:
    - "fast algorithmic self assembly of simple shapes using random agitation"
    - "signal transmission across tile assemblies 3d static tiles simulate active self assembly by 2d signal passing tiles"
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "fast arithmetic in algorithmic self assembly"
    - "asynchronous signal passing for tile self assembly fuel efficient computation and efficient assembly of shapes"
    - "parallelism and time in hierarchical self assembly"
    - "the tile assembly model is intrinsically universal"
    - "complexity of self assembled shapes"

Connected through hyperedge HE-7 (induced by source paper "fast algorithmic self assembly of simple shapes using random agitation"):
  with members:
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "intrinsic universality and the computational power of self assembly"
    - "the tile assembly model is intrinsically universal"

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)