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: "lossy broadcasting in two way relay networks with common reconstructions"
  Abstract: The broadcast phase (downlink transmission) of the two-way relay network is studied in the source coding and joint source-channel coding settings. The rates needed for reliable communication are characterised for a number of special cases including: small distortions, deterministic distortion measures, and jointly Gaussian sources with quadratic distortion measures. The broadcast problem is also studied with common-reconstruction decoding constraints, and the rates needed for reliable communication are characterised for all discrete memoryless sources and per-letter distortion measures.

Connected through hyperedge HE-1 (induced by source paper "the three user finite field multi way relay channel with correlated sources"):
  with members:
    - "multi way relay networks orthogonal uplink source channel separation and code design"
    - "gaussian two way relay channel with private information for the relay"
    - "on the equal rate capacity of the awgn multiway relay channel"
    - "the capacity region of the restricted two way relay channel with any deterministic uplink"
    - "the capacity region of multiway relay channels over finite fields with full data exchange"
    - "an optimal coding strategy for the binary multi way relay channel"
    - "capacity theorems for the awgn multi way relay channel"
    - "when is a function securely computable"

Connected through hyperedge HE-2 (induced by source paper "the capacity region of multiway relay channels over finite fields with full data exchange"):
  with members:
    - "nested lattice codes for gaussian relay networks with interference"
    - "an optimal coding strategy for the binary multi way relay channel"
    - "the multi way relay channel"
    - "capacity theorems for the awgn multi way relay channel"
    - "capacity region of the deterministic multi pair bi directional relay network"
    - "broadcast capacity region of two phase bidirectional relaying"
    - "approximate capacity of the two way relay channel a deterministic approach"
    - "the two user gaussian interference channel a deterministic view"

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)