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: "coded caching based on combinatorial designs"
  Abstract: We consider the standard broadcast setup with a single server broadcasting information to a number of clients, each of which contains local storage (called \textit{cache}) of some size, which can store some parts of the available files at the server. The centralized coded caching framework, consists of a caching phase and a delivery phase, both of which are carefully designed in order to use the cache and the channel together optimally. In prior literature, various combinatorial structures have been used to construct coded caching schemes. In this work, we propose a binary matrix model to construct the coded caching scheme. The ones in such a \textit{caching matrix} indicate uncached subfiles at the users. Identity submatrices of the caching matrix represent transmissions in the delivery phase. Using this model, we then propose several novel constructions for coded caching based on the various types of combinatorial designs. While most of the schemes constructed in this work (based on existing designs) have a high cache requirement (uncached fraction being $\Theta(\frac{1}{\sqrt{K}})$ or $\Theta(\frac{1}{K})$, $K$ being the number of users), they provide a rate that is either constant or decreasing ($O(\frac{1}{K})$) with increasing $K$, and moreover require competitively small levels of subpacketization (being $O(K^i), 1\leq i\leq 3$), which is an extremely important parameter in practical applications of coded caching. We mark this work as another attempt to exploit the well-developed theory of combinatorial designs for the problem of constructing caching schemes, utilizing the binary caching model we develop.

Connected through hyperedge HE-1 (induced by source paper "subexponential and linear subpacketization coded caching via line graphs and projective geometry"):
  with members:
    - "some new constructions of coded caching schemes with reduced subpacketization"
    - "a multi antenna coded caching scheme with linear subpacketization"
    - "decentralized coded caching without file splitting"
    - "subpacketization rate trade off in multi antenna coded caching"
    - "a unified framework for constructing centralized coded caching schemes"
    - "low subpacketization coded caching via projective geometry for broadcast and d2d networks"
    - "coded caching via projective geometry a new low subpacketization scheme"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"

Connected through hyperedge HE-2 (induced by source paper "low complexity distributed computing via binary matrices with extension to stragglers"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "storage computation and communication a fundamental tradeoff in distributed computing"
    - "communication vs distributed computation an alternative trade off curve"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "a unified coding framework for distributed computing with straggling servers"

Connected through hyperedge HE-3 (induced by source paper "a unified framework for constructing centralized coded caching schemes"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "coded caching via line graphs of bipartite graphs"
    - "placement delivery array design through strong edge coloring of bipartite graphs"
    - "adding transmitters dramatically boosts coded caching gains for finite file sizes"
    - "optimal placement delivery arrays with minimum number of rows"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "coded caching with linear subpacketization is possible using ruzsa szem eredi graphs"
    - "coded caching schemes with reduced subpacketization from linear block codes"

Connected through hyperedge HE-4 (induced by source paper "some new constructions of coded caching schemes with reduced subpacketization"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "coded caching via line graphs of bipartite graphs"
    - "placement delivery array design through strong edge coloring of bipartite graphs"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "coded caching schemes with reduced subpacketization from linear block codes"
    - "constructions of coded caching schemes with flexible memory size"
    - "centralized coded caching schemes a hypergraph theoretical approach"
    - "caching and delivery via interference elimination"

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)