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: "finite length analysis of caching aided coded multicasting"
  Abstract: In this work, we study a noiseless broadcast link serving $K$ users whose requests arise from a library of $N$ files. Every user is equipped with a cache of size $M$ files each. It has been shown that by splitting all the files into packets and placing individual packets in a random independent manner across all the caches, it requires at most $N/M$ file transmissions for any set of demands from the library. The achievable delivery scheme involves linearly combining packets of different files following a greedy clique cover solution to the underlying index coding problem. This remarkable multiplicative gain of random placement and coded delivery has been established in the asymptotic regime when the number of packets per file $F$ scales to infinity. #R##N#In this work, we initiate the finite-length analysis of random caching schemes when the number of packets $F$ is a function of the system parameters $M,N,K$. Specifically, we show that existing random placement and clique cover delivery schemes that achieve optimality in the asymptotic regime can have at most a multiplicative gain of $2$ if the number of packets is sub-exponential. Further, for any clique cover based coded delivery and a large class of random caching schemes, that includes the existing ones, we show that the number of packets required to get a multiplicative gain of $\frac{4}{3}g$ is at least $O((N/M)^g)$. We exhibit a random placement and an efficient clique cover based coded delivery scheme that approximately achieves this lower bound. We also provide tight concentration results that show that the average (over the random caching involved) number of transmissions concentrates very well requiring only polynomial number of packets in the rest of the parameters.

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"
    - "coded caching based on combinatorial designs"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "symmetric uncoded caching schemes with low subpacketization levels"):
  with members:
    - "low subpacketization coded caching via projective geometry for broadcast and d2d networks"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "placement delivery array design through strong edge coloring of bipartite graphs"
    - "coded caching with low subpacketization levels"
    - "centralized coded caching schemes a hypergraph theoretical approach"
    - "caching and delivery via interference elimination"
    - "on the optimality of uncoded cache placement"
    - "coded caching with nonuniform demands"

Connected through hyperedge HE-3 (induced by source paper "content caching and delivery in wireless radio access networks"):
  with members:
    - "mobility aware coded storage and delivery"
    - "cache aided fog radio access networks with partial connectivity"
    - "a converse bound for cache aided interference networks"
    - "treating content delivery in multi antenna coded caching as general message sets transmission a dof region perspective"
    - "fundamental limits of decentralized caching in fog rans with wireless fronthaul"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "decentralized coded caching in wireless networks trade off between storage and latency"
    - "online edge caching and wireless delivery in fog aided networks with dynamic content popularity"

Connected through hyperedge HE-4 (induced by source paper "fundamental limits of wireless caching under uneven capacity channels"):
  with members:
    - "subpacketization rate trade off in multi antenna coded caching"
    - "low subpacketization coded caching via projective geometry for broadcast and d2d networks"
    - "a new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"
    - "a low complexity cache aided multi antenna content delivery scheme"
    - "full coded caching gains for cache less users"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "centralized caching with unequal cache sizes"
    - "cache aided communications with multiple antennas at finite snr"

Connected through hyperedge HE-5 (induced by source paper "decentralized asynchronous coded caching design and performance analysis in fog radio access networks"):
  with members:
    - "asynchronous coded caching"
    - "user preference learning based edge caching for fog radio access network"
    - "decentralized asynchronous coded caching in fog ran"
    - "proactive edge computing in latency constrained fog networks"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "an online secretary framework for fog network formation with minimal latency"
    - "coded caching schemes with reduced subpacketization from linear block codes"
    - "centralized coded caching schemes a hypergraph theoretical approach"

Connected through hyperedge HE-6 (induced by source paper "a unified framework for constructing centralized coded caching schemes"):
  with members:
    - "coded caching based on combinatorial designs"
    - "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"

Connected through hyperedge HE-7 (induced by source paper "subpacketization in coded caching with demand privacy"):
  with members:
    - "on coded caching with private demands"
    - "demand private coded caching"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "placement delivery array design through strong edge coloring of bipartite graphs"
    - "optimal placement delivery arrays with minimum number of rows"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "coded caching schemes with reduced subpacketization from linear block codes"
    - "private broadcasting an index coding approach"

Connected through hyperedge HE-8 (induced by source paper "decentralized coded caching without file splitting"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "coded caching with linear subpacketization is possible using ruzsa szem eredi graphs"
    - "caching at the wireless edge design aspects challenges and future directions"
    - "wireless caching technical misconceptions and business barriers"
    - "big data caching for networking moving from cloud to edge"
    - "an efficient coded multicasting scheme preserving the multiplicative caching gain"
    - "effect of number of users in multi level coded caching"
    - "coded caching for delay sensitive content"

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)