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: "generalized interlinked cycle cover for index coding"
  Abstract: A source coding problem over a noiseless broadcast channel where the source is preinformed about the contents of the cache of all receivers, is an index coding problem. Furthermore, if each message is requested by one receiver, then we call this an index coding problem with a unicast message setting. This problem can be represented by a directed graph. In this paper, we first define a structure (we call generalized interlinked cycle (GIC)) in directed graphs. A GIC consists of cycles which are interlinked in some manner (i.e., not disjoint), and it turns out that the GIC is a generalization of cliques and cycles. We then propose a simple scalar linear encoding scheme with linear time encoding complexity. This scheme exploits GICs in the digraph. We prove that our scheme is optimal for a class of digraphs with message packets of any length. Moreover, we show that our scheme can outperform existing techniques, e.g., partial clique cover, local chromatic number, composite-coding, and interlinked cycle cover.

Connected through hyperedge HE-1 (induced by source paper "linear programming approximations for index coding"):
  with members:
    - "the optimality of partial clique covering for index coding"
    - "approximate capacity of index coding for some classes of graphs"
    - "storage capacity of repairable networks"
    - "a new index coding scheme exploiting interlinked cycles"
    - "graph theory versus minimum rank for index coding"
    - "local graph coloring and index coding"
    - "lexicographic products and the power of non linear network coding"
    - "linear index coding via semidefinite programming"

Connected through hyperedge HE-2 (induced by source paper "rate frac 1 3 index coding forbidden and feasible configurations"):
  with members:
    - "the single uniprior index coding problem the single sender case and the multi sender extension"
    - "topological interference management through index coding"
    - "local graph coloring and index coding"
    - "index coding an interference alignment perspective"

Connected through hyperedge HE-3 (induced by source paper "graph theoretic approaches to two sender index coding"):
  with members:
    - "the single uniprior index coding problem the single sender case and the multi sender extension"
    - "distributed index coding"
    - "structural properties of index coding capacity using fractional graph theory"
    - "linear codes are optimal for index coding instances with five or fewer receivers"
    - "on the capacity region for index coding"
    - "local graph coloring and index coding"
    - "index coding an interference alignment perspective"
    - "dynamic index coding for wireless broadcast networks"

Connected through hyperedge HE-4 (induced by source paper "a class of index coding problems with rate 1 3"):
  with members:
    - "structural properties of index coding capacity using fractional graph theory"
    - "topological interference management through index coding"
    - "on the capacity region for index coding"
    - "local graph coloring and index coding"
    - "index coding an interference alignment perspective"
    - "index coding via linear programming"

Connected through hyperedge HE-5 (induced by source paper "local partial clique covers for index coding"):
  with members:
    - "bounding multiple unicasts through index coding and locally repairable codes"
    - "local graph coloring and index coding"
    - "lexicographic products and the power of non linear network coding"
    - "on the index coding problem and its relation to network coding and matroid theory"

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)