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: "abelian group codes for source coding and channel coding"
  Abstract: In this paper, we study the asymptotic performance of Abelian group codes for the lossy source coding problem for arbitrary discrete (finite alphabet) memoryless sources as well as the channel coding problem for arbitrary discrete (finite alphabet) memoryless channels. For the source coding problem, we derive an achievable rate-distortion function that is characterized in a single-letter information-theoretic form using the ensemble of Abelian group codes. When the underlying group is a field, it simplifies to the symmetric rate-distortion function. Similarly, for the channel coding problem, we find an achievable rate characterized in a single-letter information-theoretic form using group codes. This simplifies to the symmetric capacity of the channel when the underlying group is a field. We compute the rate-distortion function and the achievable rate for several examples of sources and channels. Due to the non-symmetric nature of the sources and channels considered, our analysis uses a synergy of information theoretic and group-theoretic tools.

Connected through hyperedge HE-1 (induced by source paper "an achievable rate region for the three user interference channel based on coset codes"):
  with members:
    - "on interference networks over finite fields"
    - "on the capacity of the finite field counterparts of wireless interference networks"
    - "is non unique decoding necessary"
    - "achievable rate region based on coset codes for multiple access channel with states"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "interference alignment from degrees of freedom to constant gap capacity approximations"
    - "interference decoding for deterministic channels"
    - "achievable rates for k user gaussian interference channels"

Connected through hyperedge HE-2 (induced by source paper "achievable rate region based on coset codes for multiple access channel with states"):
  with members:
    - "nested lattice codes for arbitrary continuous sources and channels"
    - "the approximate capacity of the many to one and one to many gaussian interference channels"
    - "a layered lattice coding scheme for a class of three user gaussian interference channels"
    - "distributed source coding using abelian group codes"

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)