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: "ultra low energy high performance dynamic resistive threshold logic"
  Abstract: We propose dynamic resistive threshold-logic (DRTL) design based on non-volatile resistive memory. A threshold logic gate (TLG) performs summation of multiple inputs multiplied by a fixed set of weights and compares the sum with a threshold. DRTL employs resistive memory elements to implement the weights and the thresholds, while a compact dynamic CMOS latch is used for the comparison operation. The resulting DRTL gate acts as a low-power, configurable dynamic logic unit and can be used to build fully pipelined, high-performance programmable computing blocks. Multiple stages in such a DRTL design can be connected using energy-efficient low swing programmable interconnect networks based on resistive switches. Owing to memory-based compact logic and interconnect design and highspeed dynamic-pipelined operation, DRTL can achieve more than two orders of magnitude improvement in energy-delay product as compared to look-up table based CMOS FPGA.

Connected through hyperedge HE-1 (induced by source paper "a survey of memristive threshold logic circuits"):
  with members:
    - "memristive threshold logic circuit design of fast moving object detection"
    - "threshold logic computing memristive cmos circuits for fast fourier transform and vedic multiplication"
    - "design and synthesis of ultralow energy spin memristor threshold logic"
    - "resistive threshold logic"
    - "cognitive memory network"

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)