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: "computation alignment capacity approximation without noise accumulation"
  Abstract: Consider several source nodes communicating across a wireless network to a destination node with the help of several layers of relay nodes. Recent work by Avestimehr et al. has approximated the capacity of this network up to an additive gap. The communication scheme achieving this capacity approximation is based on compress-and-forward, resulting in noise accumulation as the messages traverse the network. As a consequence, the approximation gap increases linearly with the network depth. #R##N#This paper develops a computation alignment strategy that can approach the capacity of a class of layered, time-varying wireless relay networks up to an approximation gap that is independent of the network depth. This strategy is based on the compute-and-forward framework, which enables relays to decode deterministic functions of the transmitted messages. Alone, compute-and-forward is insufficient to approach the capacity as it incurs a penalty for approximating the wireless channel with complex-valued coefficients by a channel with integer coefficients. Here, this penalty is circumvented by carefully matching channel realizations across time slots to create integer-valued effective channels that are well-suited to compute-and-forward. Unlike prior constant gap results, the approximation gap obtained in this paper also depends closely on the fading statistics, which are assumed to be i.i.d. Rayleigh.

Connected through hyperedge HE-1 (induced by source paper "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"):
  with members:
    - "an achievable rate region for the three user interference channel based on coset codes"
    - "a joint typicality approach to algebraic network information theory"
    - "secure compute and forward in a bidirectional relay"
    - "secure degrees of freedom of one hop wireless networks"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "multiple access via compute and forward"
    - "lattices over eisenstein integers for compute and forward"
    - "uplink downlink duality for integer forcing"

Connected through hyperedge HE-2 (induced by source paper "distributed decode forward for relay networks"):
  with members:
    - "partial decode forward relaying for the gaussian two hop relay network"
    - "noisy network coding with partial df"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"
    - "index coding capacity how far can one go with only shannon inequalities"
    - "short message noisy network coding with a decode forward option"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"

Connected through hyperedge HE-3 (induced by source paper "cut set bound is loose for gaussian relay networks"):
  with members:
    - "cover s open problem the capacity of the relay channel"
    - "improving on the cut set bound via geometric analysis of typical sets"
    - "wasserstein continuity of entropy and outer bounds for interference channels"
    - "improved capacity approximations for gaussian relay networks"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "a unified relay framework with both d f and c f relay nodes"
    - "wireless network information flow a deterministic approach"
    - "the approximate capacity of the gaussian n relay diamond network"

Connected through hyperedge HE-4 (induced by source paper "cooperation alignment for distributed interference management"):
  with members:
    - "cellular interference alignment"
    - "the degrees of freedom of compute and forward"
    - "interference mitigation through limited transmitter cooperation"
    - "interference mitigation through limited receiver cooperation"
    - "ergodic interference alignment"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-5 (induced by source paper "phase precoding for the compute and forward protocol"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "phase precoded compute and forward with partial feedback"
    - "lattices over eisenstein integers for compute and forward"
    - "an algebraic approach to physical layer network coding"
    - "on complex lll algorithm for integer forcing linear receivers"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "physical layer network coding tutorial survey and beyond"
    - "integer forcing linear receivers"

Connected through hyperedge HE-6 (induced by source paper "capacity approximations for gaussian relay networks"):
  with members:
    - "compress and forward scheme for relay networks backword decoding and connection to bisubmodular flows"
    - "improved capacity approximations for gaussian relay networks"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "wireless network information flow a deterministic approach"
    - "short message quantize forward network coding"
    - "on the optimal compressions in the compress and forward relay schemes"
    - "ergodic interference alignment"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-7 (induced by source paper "improved capacity approximations for gaussian relay networks"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "approximately achieving gaussian relay network capacity with lattice codes"
    - "ergodic interference alignment"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-8 (induced by source paper "approximate ergodic capacity of a class of fading 2 user 2 hop networks"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "degrees of freedom of interference channels with comp transmission and reception"
    - "the ergodic capacity of phase fading interference networks"
    - "wireless network information flow a deterministic approach"
    - "two unicast wireless networks characterizing the degrees of freedom"
    - "interference alignment from degrees of freedom to constant gap capacity approximations"
    - "multiple unicast capacity of 2 source 2 sink networks"

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)