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: "on the separability of parallel gaussian interference channels"
  Abstract: The separability in parallel Gaussian interference channels (PGICs) is studied in this paper. We generalize the separability results in one-sided PGICs (OPGICs) by Sung \emph{et al.} to two-sided PGICs (TPGICs). Specifically, for strong and mixed TPGICs, we show necessary and sufficient conditions for the separability. For this, we show diagonal covariance matrices are sum-rate optimal for strong and mixed TPGICs.

Connected through hyperedge HE-1 (induced by source paper "ergodic fading interference channels sum capacity and separability"):
  with members:
    - "capacity regions and sum rate capacities of vector gaussian interference channels"
    - "noisy interference sum rate capacity of parallel gaussian interference channels"
    - "ergodic interference alignment"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"
    - "multiple access outerbounds and the inseparability of parallel interference channels"
    - "the two user gaussian interference channel a deterministic view"
    - "sum capacity of ergodic fading interference and compound multiaccess channels"

Connected through hyperedge HE-2 (induced by source paper "interference channel with an out of band relay"):
  with members:
    - "ergodic fading interference channels sum capacity and separability"
    - "the multi way relay channel"
    - "capacity regions and sum rate capacities of vector gaussian interference channels"
    - "gaussian z interference channel with a relay link achievability region and asymptotic sum capacity"
    - "noisy network coding"
    - "the mimo wireless switch relaying can increase the multiplexing gain"
    - "noisy interference sum rate capacity of parallel gaussian interference channels"
    - "multiple multicasts with the help of a relay"

Connected through hyperedge HE-3 (induced by source paper "interference channel with a half duplex out of band relay"):
  with members:
    - "ergodic fading interference channels sum capacity and separability"
    - "noisy interference sum rate capacity of parallel gaussian interference channels"
    - "gaussian interference channel capacity to within one bit"
    - "an extremal inequality motivated by multiterminal information theoretic problems"

Connected through hyperedge HE-4 (induced by source paper "k user fading interference channels the ergodic very strong case"):
  with members:
    - "noisy interference sum rate capacity of parallel gaussian interference channels"
    - "ergodic interference alignment"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "gaussian interference networks sum capacity in the low interference regime and new outer bounds on the capacity region"
    - "capacity bounds for the gaussian interference channel"
    - "capacity of symmetric k user gaussian very strong interference channels"
    - "new outer bounds on the capacity region of gaussian interference channels"

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)