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: "feedback communication over individual channels"
  Abstract: We consider the problem of communicating over a channel for which no mathematical model is specified. We present achievable rates as a function of the channel input and output sequences known a-posteriori for discrete and continuous channels. Furthermore we present a rate-adaptive scheme employing feedback which achieves these rates asymptotically without prior knowledge of the channel behavior.

Connected through hyperedge HE-1 (induced by source paper "zero rate feedback can achieve the empirical capacity"):
  with members:
    - "on the gaussian mac with imperfect feedback"
    - "rateless codes for avc models"
    - "balancing forward and feedback error correction for erasure channels with unreliable feedback"
    - "feedback capacity of stationary gaussian channels"
    - "a counterexample to cover s 2p conjecture on gaussian feedback capacity"

Connected through hyperedge HE-2 (induced by source paper "an achievable rate for the mimo individual channel"):
  with members:
    - "communication over individual channels"
    - "zero rate feedback can achieve the empirical capacity"
    - "achieving the empirical capacity using feedback part i memoryless additive models"

Connected through hyperedge HE-3 (induced by source paper "power adaptive feedback communication over an additive individual noise sequence channel"):
  with members:
    - "communication over individual channels"
    - "zero rate feedback can achieve the empirical capacity"
    - "achieving the empirical capacity using feedback part i memoryless additive models"

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)