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: "combinatiorial algorithms for wireless information flow"
  Abstract: A long-standing open question in information theory is to characterize the unicast capacity of a wireless relay network. The difficulty arises due to the complex signal interactions induced in the network, since the wireless channel inherently broadcasts the signals and there is interference among transmissions. Recently, Avestimehr, Diggavi and Tse proposed a linear deterministic model that takes into account the shared nature of wireless channels, focusing on the signal interactions rather than the background noise. They generalized the min-cut max-flow theorem for graphs to networks of deterministic channels and proved that the capacity can be achieved using information theoretical tools. They showed that the value of the minimum cut is in this case the minimum rank of all the adjacency matrices describing source-destination cuts. #R##N#In this paper, we develop a polynomial time algorithm that discovers the relay encoding strategy to achieve the min-cut value in linear deterministic (wireless) networks, for the case of a unicast connection. Our algorithm crucially uses a notion of linear independence between channels to calculate the capacity in polynomial time. Moreover, we can achieve the capacity by using very simple one-symbol processing at the intermediate nodes, thereby constructively yielding finite length strategies that achieve the unicast capacity of the linear deterministic (wireless) relay network.

Connected through hyperedge HE-1 (induced by source paper "compress and forward scheme for relay networks backword decoding and connection to bisubmodular flows"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "a digital interface for gaussian relay and interference networks lifting codes from the discrete superposition model"
    - "on the optimal compressions in the compress and forward relay schemes"
    - "approximately achieving gaussian relay network capacity with lattice codes"

Connected through hyperedge HE-2 (induced by source paper "network coding meets multimedia a review"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "selection of network coding nodes for minimal playback delay in streaming overlays"
    - "multipath wireless network coding a population game perspective"
    - "a rank metric approach to error control in random network coding"
    - "on coding for reliable communication over packet networks"

Connected through hyperedge HE-3 (induced by source paper "efficient capacity computation and power optimization for relay networks"):
  with members:
    - "near optimal nonmyopic value of information in graphical models"
    - "wireless network information flow a deterministic approach"
    - "improved combinatorial algorithms for wireless information flow"
    - "approximately achieving gaussian relay network capacity with lattice codes"
    - "a combinatorial study of linear deterministic relay networks"
    - "approximate capacity of gaussian relay networks"
    - "a deterministic approach to wireless relay networks"

Connected through hyperedge HE-4 (induced by source paper "coding for linear operator channels over finite fields"):
  with members:
    - "on the capacity of non coherent network coding"
    - "communication over finite field matrix channels"
    - "multishot codes for network coding bounds and a multilevel construction"
    - "a rank metric approach to error control in random network coding"
    - "network coding for distributed storage systems"
    - "coding for errors and erasures in random network coding"
    - "coding for network coding"
    - "wireless network information flow"

Connected through hyperedge HE-5 (induced by source paper "improved combinatorial algorithms for wireless information flow"):
  with members:
    - "a combinatorial study of linear deterministic relay networks"
    - "a deterministic approach to wireless relay networks"
    - "wireless network information flow"

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.DS(Data Structures and Algorithms)