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: "improved method for searching of interleavers using garello s method"
  Abstract: In this paper an improved method for searching good interleavers from a certain set is proposed. The first few terms, corresponding to maximum distance of approximately 40 of the distance spectra, for turbo codes using these interleavers are determined by means of Garello's method. The method is applied to find quadratic permutation polynomials (QPP) based interleavers. Compared to previous methods for founding QPP based interleavers, the search complexity is reduced, allowing to find interleavers of higher length. This method has been applied for QPP interleavers with lengths from the LTE (Long Term Evolution) standard up to 1504. The analyzed classes are those with the largest spread QPP (LS-QPP), with the D parameter equal to that of LTE interleaver (D_L_T_E-QPP), and the class consisting of all QPP interleavers for lengths up to 1008. The distance spectrum optimization is made for all classes. For the class of LS-QPP interleavers of small lengths, the search led to superior or at least equal performances with those of the LTE standard. For larger lengths the search in the class of D_L_T_E-QPP interleavers is preferred. The interleavers from the entire class of QPPs lead, in general, to weaker FER (Frame Error Rate) performance.

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)