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: "drawing from hats by noise based logic"
  Abstract: AbstractWe utilize the asymmetric random telegraph wave-based instantaneous noise-base logic scheme to represent the problem of drawing numbers from a hat, and we consider two identical hats with the first 2N integer numbers. In the first problem, Alice secretly draws an arbitrary number from one of the hats, and Bob must find out which hat is missing a number. In the second problem, Alice removes a known number from one of the hats and another known number from the other hat, and Bob must identify these hats. We show that, when the preparation of the hats with the numbers is accounted for, the noise-based logic scheme always provides an exponential speed-up and/or it requires exponentially smaller computational complexity than deterministic alternatives. Both the stochasticity and the ability to superpose numbers are essential components of the exponential improvement.

Connected through hyperedge HE-1 (induced by source paper "entanglement and unsorted database search in noise based logic"):
  with members:
    - "a quantum inspired classical algorithm for recommendation systems"
    - "noise based logic gates by operations on the reference system"
    - "quantum inspired classical algorithms for principal component analysis and supervised clustering"
    - "brain biological noise based logic"
    - "bird s eye view on noise based logic"
    - "noise based logic why noise a comparative study of the necessity of randomness out of orthogonality"
    - "computation using noise based logic efficient string verification over a slow communication channel"
    - "new noise based logic representations to avoid some problems with time complexity"

Connected through hyperedge HE-2 (induced by source paper "noise based logic gates by operations on the reference system"):
  with members:
    - "bird s eye view on noise based logic"
    - "noise based logic why noise a comparative study of the necessity of randomness out of orthogonality"
    - "computation using noise based logic efficient string verification over a slow communication channel"
    - "instantaneous non squeezed noise based logic"
    - "new noise based logic representations to avoid some problems with time complexity"
    - "instantaneous noise based logic"

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)