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: "local partial clique covers for index coding"
  Abstract: Index coding, or broadcasting with side information, is a network coding problem of most fundamental importance. In this problem, given a directed graph, each vertex represents a user with a need of information, and the neighborhood of each vertex represents the side information availability to that user. The aim is to find an encoding to minimum number of bits (optimal rate) that, when broadcasted, will be sufficient to the need of every user. Not only the optimal rate is intractable, but it is also very hard to characterize with some other well-studied graph parameter or with a simpler formulation, such as a linear program. Recently there have been a series of works that address this question and provide explicit schemes for index coding as the optimal value of a linear program with rate given by well-studied properties such as local chromatic number or partial clique-covering number. There has been a recent attempt to combine these existing notions of local chromatic number and partial clique covering into a unified notion denoted as the local partial clique cover (Arbabjolfaei and Kim, 2014). We present a generalized novel upper-bound (encoding scheme) - in the form of the minimum value of a linear program - for optimal index coding. Our bound also combines the notions of local chromatic number and partial clique covering into a new definition of the local partial clique cover, which outperforms both the previous bounds, as well as beats the previous attempt to combination. Further, we look at the upper bound derived recently by Thapa et al., 2015, and extend their n-GIC (Generalized Interlinked Cycle) construction to (k;n)-GIC graphs, which are a generalization of k-partial cliques.

Connected through hyperedge HE-1 (induced by source paper "on locally decodable index codes"):
  with members:
    - "reduced complexity index codes and improved upperbound on broadcast rate for neighboring interference problems"
    - "privacy in index coding k limited access schemes"
    - "speeding up distributed machine learning using codes"
    - "preserving privacy while broadcasting k limited access schemes"
    - "on a duality between recoverable distributed storage and index coding"
    - "graph theory versus minimum rank for index coding"
    - "topological interference management through index coding"
    - "bounding multiple unicasts through index coding and locally repairable codes"

Connected through hyperedge HE-2 (induced by source paper "the optimality of partial clique covering for index coding"):
  with members:
    - "interlinked cycles for index coding generalizing cycles and cliques"
    - "approximate capacity of index coding for some classes of graphs"
    - "the single uniprior index coding problem the single sender case and the multi sender extension"
    - "tdma is optimal for all unicast dof region of tim if and only if topology is chordal bipartite"
    - "fractional coloring orthogonal access achieves all unicast capacity dof region of index coding tim if and only if network topology is chordal"
    - "structural properties of index coding capacity using fractional graph theory"
    - "storage capacity of repairable networks"
    - "a matrix completion approach to linear index coding problem"

Connected through hyperedge HE-3 (induced by source paper "a novel index coding scheme and its application to coded caching"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on the capacity for distributed index coding"
    - "information theoretic caching the multi user case"
    - "a rate distortion approach to caching"
    - "on caching with more users than files"
    - "on the optimality of uncoded cache placement"
    - "a rate distortion approach to index coding"
    - "topological interference management through index coding"

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)