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: "connectionist symbolic machine intelligence using cellular automata based reservoir hyperdimensional computing"
  Abstract: We introduce a novel framework of reservoir computing, that is capable of both connectionist machine intelligence and symbolic computation. Cellular automaton is used as the reservoir of dynamical systems. Input is randomly projected onto the initial conditions of automaton cells and nonlinear computation is performed on the input via application of a rule in the automaton for a period of time. The evolution of the automaton creates a space-time volume of the automaton state space, and it is used as the reservoir. The proposed framework is capable of long short-term memory and it requires orders of magnitude less computation compared to Echo State Networks. We prove that cellular automaton reservoir holds a distributed representation of attribute statistics, which provides a more effective computation than local representation. It is possible to estimate the kernel for linear cellular automata via metric learning, that enables a much more efficient distance computation in support vector machine framework. Also, binary reservoir feature vectors can be combined using Boolean operations as in hyperdimensional computing, paving a direct way for concept building and symbolic processing.

Connected through hyperedge HE-1 (induced by source paper "holographic automata for ambient immersive a i via reservoir computing"):
  with members:
    - "reservoir computing using non uniform binary cellular automata"
    - "deep reservoir computing using cellular automata"
    - "cross boundary behavioural reprogrammability of cellular automata from emulation networks"
    - "conceptors an easy introduction"
    - "controlling recurrent neural networks by conceptors"
    - "on geometric algebra representation of binary spatter codes"
    - "distributed computation as hierarchy"

Connected through hyperedge HE-2 (induced by source paper "reservoir computing hardware with cellular automata"):
  with members:
    - "binarized convolutional neural networks with separable filters for efficient hardware acceleration"
    - "deep reservoir computing using cellular automata"
    - "binarized neural networks training deep neural networks with weights and activations constrained to 1 or 1"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-3 (induced by source paper "deep reservoir computing using cellular automata"):
  with members:
    - "reservoir computing using non uniform binary cellular automata"
    - "finn a framework for fast scalable binarized neural network inference"
    - "neural gpus learn algorithms"
    - "reservoir computing using cellular automata"
    - "optoelectronic reservoir computing"

Connected through hyperedge HE-4 (induced by source paper "reservoir computing using non uniform binary cellular automata"):
  with members:
    - "reservoir computing using cellular automata"

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)