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: "a new rate region for general interference channel improved hk region"
  Abstract: In this paper (a) after detailed investigation of the previous equivalent rate regions for general interference channel, i.e., the Han-Kobayashi (HK) and the Chong-Motani-Garg (CMG) regions, we define modified CMG region the equivalency of which with the HK region is readily seen; (b) we make two novel changes in the HK coding. First, we allow the input auxiliary random variables to be correlated and, second, exploit the powerful technique of random binning instead of the HK -CMG superposition coding, thereby establishing a new rate region for general interference channel, as an improved version of the HK region; (c) we make a novel change in the CMG coding by allowing the message variables to be correlated and obtain an equivalent form for our new region in (b), as an improved version of the CMG region. Then, (d) in order to exactly demarcate the regions, by considering their different easily comparable versions, we compare our region to the HK and CMG regions. Specifically, using a simple dependency structure for the correlated auxiliary random variables, based on the Wyner and Gacs-Korner common information between dependent variables, we show that the HK and the CMG regions are special cases of our new region. Keywords. Interference channel, Correlated auxiliary random variables, Common information, Superposition coding, Binning scheme

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)