human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "on the universality of memcomputing machines"):
  Abstract: Universal memcomputing machines (UMMs) [IEEE Trans. Neural Netw. Learn. Syst. 26, 2702 (2015)] represent a novel computational model in which memory (time non-locality) accomplishes both tasks of storing and processing of information. UMMs have been shown to be Turing-complete, namely they can simulate any Turing machine. In this paper, using set theory and cardinality arguments, we compare them with liquid-state machines (or "reservoir computing") and quantum machines ("quantum computing"). We show that UMMs can simulate both types of machines, hence they are both "liquid-" or "reservoir-complete" and "quantum-complete". Of course, these statements pertain only to the type of problems these machines can solve, and not to the amount of resources required for such simulations. Nonetheless, the method presented here provides a general framework in which to describe the relation between UMMs and any other type of computational model.

Includes members:
  Member "accelerating deep learning with memcomputing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "aircraft loading optimization memcomputing the 5th airbus problem")
  Member "memcomputing integer linear programming":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "aircraft loading optimization memcomputing the 5th airbus problem")
  Member "perspective memcomputing leveraging memory and physics to compute efficiently":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "p bits for probabilistic spin logic")
  Member "evidence of an exponential speed up in the solution of hard optimization problems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "accelerating deep learning with memcomputing")
  Member "polynomial time solution of prime factorization and np complete problems with digital memcomputing machines":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "p bits for probabilistic spin logic")
  Member "universal memcomputing machines":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a scalable photonic computer solving the subset sum problem")
  Member "memcomputing np complete problems in polynomial time using polynomial resources and collective states":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a scalable photonic computer solving the subset sum problem")
  Member "the parallel approach":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a scalable photonic computer solving the subset sum problem")

Question: Please tell me which class the source paper 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.NE(Neural and Evolutionary Computing)