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: "self organization and solution of shortest path optimization problems with memristive networks"
  Abstract: We show that memristive networks-namely networks of resistors with memory-can efficiently solve shortest-path optimization problems. Indeed, the presence of memory (time non-locality) promotes self organization of the network into the shortest possible path(s). We introduce a network entropy function to characterize the self-organized evolution, show the solution of the shortest-path problem and demonstrate the healing property of the solution path. Finally, we provide an algorithm to solve the traveling salesman problem. Similar considerations apply to networks of memcapacitors and meminductors, and networks with memory in various dimensions.

Connected through hyperedge HE-1 (induced by source paper "memristive oscillatory circuits for resolution of np complete logic puzzles sudoku case"):
  with members:
    - "vertex coloring of graphs via phase dynamics of coupled oscillatory networks"

Connected through hyperedge HE-2 (induced by source paper "asymptotic behavior of memristive circuits"):
  with members:
    - "a tutorial on formulating and using qubo models"
    - "memristors for the curious outsiders"
    - "memory and information processing in neuromorphic systems"
    - "universal memcomputing machines"
    - "memcomputing np complete problems in polynomial time using polynomial resources and collective states"

Connected through hyperedge HE-3 (induced by source paper "transient dynamics of pulse driven memristors in the presence of a stable fixed point"):
  with members:
    - "a demonstration of implication logic based on volatile diffusive memristors"
    - "importance of the window function choice for the predictive modelling of memristors"
    - "training and operation of an integrated neuromorphic network based on metal oxide memristors"
    - "the parallel approach"

Connected through hyperedge HE-4 (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-5 (induced by source paper "perspective memcomputing leveraging memory and physics to compute efficiently"):
  with members:
    - "instantons in self organizing logic gates"
    - "polynomial time solution of prime factorization and np complete problems with digital memcomputing machines"
    - "universal memcomputing machines"
    - "memcomputing np complete problems in polynomial time using polynomial resources and collective states"
    - "memcomputing with membrane memcapacitive systems"
    - "dynamic computing random access memory"
    - "the parallel approach"

Connected through hyperedge HE-6 (induced by source paper "a scalable method to find the shortest path in a graph with circuits of memristors"):
  with members:
    - "an fpga based massively parallel neuromorphic cortex simulator"
    - "image edge detection based on swarm intelligence using memristive networks"
    - "slime mould memristors"

Connected through hyperedge HE-7 (induced by source paper "asymptotic behavior of memristive circuits and combinatorial optimization"):
  with members:
    - "memory and information processing in neuromorphic systems"
    - "universal memcomputing machines"
    - "memcomputing np complete problems in polynomial time using polynomial resources and collective states"

Connected through hyperedge HE-8 (induced by source paper "memcomputing with membrane memcapacitive systems"):
  with members:
    - "universal memcomputing machines"
    - "dynamic computing random access memory"
    - "the parallel approach"

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)