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: "optimal secure gdof of symmetric gaussian wiretap channel with a helper"
  Abstract: We study a symmetric Gaussian wiretap channel with a helper, where a confidential message is sent from a transmitter to a legitimate receiver, in the presence of a helper and an eavesdropper, under a weak notion of secrecy constraint. For this setting, we characterize the optimal secure generalized degrees-of-freedom (GDoF). The result reveals that, adding a helper can significantly increase the secure GDoF of the wiretap channel. The result is supported by a new converse and a new scheme. In the proposed scheme, the helper sends a cooperative jamming signal at a specific power level and direction. In this way, it minimizes the penalty in GDoF incurred by the secrecy constraint. In the secure rate analysis, the techniques of noise removal and signal separation are used.

Connected through hyperedge HE-1 (induced by source paper "adding common randomness can remove the secrecy constraints in communication networks"):
  with members:
    - "secure communication over interference channel to jam or not to jam"
    - "adding a helper can totally remove the secrecy constraints in interference channel"
    - "secure degrees of freedom of one hop wireless networks with no eavesdropper csit"
    - "towards a constant gap sum capacity result for the gaussian wiretap channel with a helper"
    - "finite snr regime analysis of the gaussian wiretap multiple access channel"
    - "secure degrees of freedom of one hop wireless networks"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "secure degrees of freedom of k user gaussian interference channels a unified view"

Connected through hyperedge HE-2 (induced by source paper "multi layer interference alignment and gdof of the k user asymmetric interference channel"):
  with members:
    - "gdof of interference channel with limited cooperation under finite precision csit"
    - "secure communication over interference channel to jam or not to jam"
    - "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"
    - "the generalized degrees of freedom region of the mimo z interference channel with delayed csit"
    - "optimality of treating interference as noise a combinatorial perspective"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "on the vector broadcast channel with alternating csit a topological perspective"
    - "the gdof of 3 user mimo gaussian interference channel"

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.IT(Information Theory)