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 does a physical system compute"
  Abstract: Computing is a high-level process of a physical system. Recent interest in non-standard computing systems, including quantum and biological computers, has brought this physical basis of computing to the forefront. There has been, however, no consensus on how to tell if a given physical system is acting as a computer or not; leading to confusion over novel computational devices, and even claims that every physical event is a computation. In this paper we introduce a formal framework that can be used to determine whether or not a physical system is performing a computation. We demonstrate how the abstract computational level interacts with the physical device level, drawing the comparison with the use of mathematical models to represent physical objects in experimental science. This powerful formulation allows a precise description of the similarities between experiments, computation, simulation, and technology, leading to our central conclusion: physical computing is the use of a physical system to predict the outcome of an abstract evolution. We give conditions that must be satisfied in order for computation to be occurring, and illustrate these with a range of non-standard computing scenarios. The framework also covers broader computing contexts, where there is no obvious human computer user. We define the critical notion of a ‘computational entity’, and show the role this plays in defining when computing is taking place in physical systems.

Connected through hyperedge HE-1 (induced by source paper "a substrate independent framework to characterise reservoir computers"):
  with members:
    - "reservoir computing with a single time delay autonomous boolean node"
    - "nano scale reservoir computing"
    - "optoelectronic reservoir computing"

Connected through hyperedge HE-2 (induced by source paper "memristors for the curious outsiders"):
  with members:
    - "a neuromorphic systems approach to in memory computing with non ideal memristive devices from mitigation to exploitation"
    - "hierarchical temporal memory using memristor networks a survey"
    - "thermodynamic ram technology stack"
    - "perspective memcomputing leveraging memory and physics to compute efficiently"
    - "the case for rejecting the memristor as a fundamental circuit element"
    - "vertex coloring of graphs via phase dynamics of coupled oscillatory networks"
    - "polynomial time solution of prime factorization and np complete problems with digital memcomputing machines"
    - "temporal correlation detection using computational phase change memory"

Connected through hyperedge HE-3 (induced by source paper "defining and surveying wireless link virtualization and wireless network virtualization"):
  with members:
    - "survey on network virtualization hypervisors for software defined networking"
    - "network function virtualization state of the art and research challenges"
    - "a prioritised traffic embedding mechanism enabling a public safety virtual operator"
    - "virtualization of 5g cellular networks as a hierarchical combinatorial auction"
    - "distributed virtual resource allocation in small cell networks with full duplex self backhauls and virtualization"
    - "abstraction representation theory for heterotic physical computing"
    - "software defined and virtualized future mobile and wireless networks a survey"
    - "software defined networking a comprehensive survey"

Connected through hyperedge HE-4 (induced by source paper "computability and complexity of unconventional computing devices"):
  with members:
    - "a software methodology for compiling quantum programs"
    - "a survey and discussion of memcomputing machines"
    - "polynomial time solution of prime factorization and np complete problems with digital memcomputing machines"
    - "convolutional networks for fast energy efficient neuromorphic computing"
    - "classic nintendo games are computationally hard"
    - "why philosophers should care about computational complexity"
    - "measuring intelligence through games"
    - "zeno machines and hypercomputation"

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)