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: "the computational power of population protocols"
  Abstract: We consider the model of population protocols introduced by Angluin et al., in which anonymous finite-state agents stably compute a predicate of the multiset of their inputs via two-way interactions in the all-pairs family of communication networks. We prove that all predicates stably computable in this model (and certain generalizations of it) are semilinear, answering a central open question about the power of the model. Removing the assumption of two-way interaction, we also consider several variants of the model in which agents communicate by anonymous message-passing where the recipient of each message is chosen by an adversary and the sender is not identified to the recipient. These one-way models are distinguished by whether messages are delivered immediately or after a delay, whether a sender can record that it has sent a message, and whether a recipient can queue incoming messages, refusing to accept new messages until it has had a chance to send out messages of its own. We characterize the classes of predicates stably computable in each of these one-way models using natural subclasses of the semilinear predicates.

Connected through hyperedge HE-1 (induced by source paper "robust comparison in population protocols"):
  with members:
    - "majority stabilization in population protocols"
    - "fast space optimal leader election in population protocols"
    - "robust detection in leak prone population protocols"
    - "space optimal majority in population protocols"
    - "time space trade offs in population protocols"
    - "determining majority in networks with local interactions and very small local memory"
    - "passively mobile communicating machines that use restricted space"

Connected through hyperedge HE-2 (induced by source paper "distributed computation and reconfiguration in actively dynamic networks"):
  with members:
    - "deleting edges to restrict the size of an epidemic in temporal networks"
    - "on the transformation capability of feasible mechanisms for programmable matter"
    - "temporal network optimization subject to connectivity constraints"
    - "connectivity preserving network transformers"
    - "simple and efficient local codes for distributed stable network construction"
    - "naming and counting in anonymous unknown dynamic networks"

Connected through hyperedge HE-3 (induced by source paper "on the flatness of immediate observation petri nets"):
  with members:
    - "parameterized analysis of immediate observation petri nets"
    - "the complexity of verifying population protocols"
    - "verification of immediate observation population protocols"

Connected through hyperedge HE-4 (induced by source paper "constructive expressive power of population protocols"):
  with members:
    - "parameterized analysis of immediate observation petri nets"
    - "towards efficient verification of population protocols"
    - "stable leader election in population protocols requires linear time"

Connected through hyperedge HE-5 (induced by source paper "popsgd decentralized stochastic gradient descent in the population model"):
  with members:
    - "decentralized stochastic optimization and gossip algorithms with compressed communication"
    - "the convergence of stochastic gradient descent in asynchronous shared memory"
    - "decentralization meets quantization"
    - "stochastic gradient push for distributed deep learning"
    - "scaling sgd batch size to 32k for imagenet training"
    - "sparse communication for distributed gradient descent"
    - "terngrad ternary gradients to reduce communication in distributed deep learning"
    - "accurate large minibatch sgd training imagenet in 1 hour"

Connected through hyperedge HE-6 (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-7 (induced by source paper "pushing lines helps efficient universal centralised transformations for programmable matter"):
  with members:
    - "on the runtime of universal coating for programmable matter"
    - "on the transformation capability of feasible mechanisms for programmable matter"
    - "line recovery by programmable particles"
    - "shape formation by programmable particles"
    - "an algorithmic framework for shape formation problems in self organizing particle systems"
    - "simple and efficient local codes for distributed stable network construction"
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "pspace completeness of sliding block puzzles and other problems through the nondeterministic constraint logic model of computation"

Connected through hyperedge HE-8 (induced by source paper "on counting the population size"):
  with members:
    - "exact size counting in uniform population protocols in nearly logarithmic time"
    - "efficient size estimation and impossibility of termination in uniform dense population protocols"
    - "fast space optimal leader election in population protocols"
    - "simple load balancing"
    - "space optimal majority in population protocols"
    - "time space trade offs in population protocols"
    - "stable leader election in population protocols requires linear time"
    - "determining majority in networks with local interactions and very small local memory"

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)