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: "on combination networks with cache aided relays and users"
  Abstract: Caching is an efficient way to reduce peak hour network traffic congestion by storing some contents at the user's cache without knowledge of later demands. Coded caching strategy was originally proposed by Maddah-Ali and Niesen to give an additional coded caching gain compared the conventional uncoded scheme. Under practical consideration, the caching model was recently considered in relay network, in particular the combination network, where the central server communicates with $K=\binom{H}{r}$ users (each is with a cache of $M$ files) through $H$ immediate relays, and each user is connected to a different $r-$subsets of relays. Several inner bounds and outer bounds were proposed for combination networks with end-user-caches. This paper extends the recent work by the authors on centralized combination networks with end-user caches to a more general setting, where both relays and users have caches. In contrast to the existing schemes in which the packets transmitted from the server are independent of the cached contents of relays, we propose a novel caching scheme by creating an additional coded caching gain to the transmitted load from the server with the help of the cached contents in relays. We also show that the proposed scheme outperforms the state-of-the-art approaches.

Connected through hyperedge HE-1 (induced by source paper "improved constructions of coded caching schemes for combination networks"):
  with members:
    - "caching in combination networks a novel delivery by leveraging the network topology"
    - "placement delivery array design for combination networks with edge caching"
    - "placement delivery array design through strong edge coloring of bipartite graphs"
    - "a novel asymmetric coded placement in combination networks with end user caches"
    - "optimal placement delivery arrays with minimum number of rows"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "caching in combination networks novel multicast message generation and delivery by leveraging the network topology"
    - "combination networks with or without secrecy constraints the impact of caching relays"

Connected through hyperedge HE-2 (induced by source paper "placement delivery array design for combination networks with edge caching"):
  with members:
    - "placement delivery array design through strong edge coloring of bipartite graphs"
    - "a novel asymmetric coded placement in combination networks with end user caches"
    - "low subpacketization schemes for coded caching"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "combination networks with or without secrecy constraints the impact of caching relays"
    - "coded caching with linear subpacketization is possible using ruzsa szem eredi graphs"
    - "scalable content delivery with coded caching in multi antenna fading channels"
    - "novel outer bounds and inner bounds with uncoded cache placement for combination networks with end user caches"

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)