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: "structured lattice codes for some two user gaussian networks with cognition coordination and two hops"
  Abstract: We study a number of two-user interference networks with multiple-antenna transmitters/receivers, transmitter side information in the form of linear combinations (over finite-field) of the information messages, and two-hop relaying. We start with a Cognitive Interference Channel (CIC) where one of the transmitters (non-cognitive) has knowledge of a rank-1 linear combination of the two information messages, while the other transmitter (cognitive) has access to a rank-2 linear combination of the same messages. This is referred to as the Network-Coded CIC, since such linear combination may be the result of some random linear network coding scheme implemented in the backbone wired network. For such channel we develop an achievable region based on a few novel concepts: Precoded Compute and Forward (PCoF) with Channel Integer Alignment (CIA), combined with standard Dirty-Paper Coding. We also develop a capacity region outer bound and find the sum symmetric GDoF of the Network-Coded CIC. Through the GDoF characterization, we show that knowing "mixed data" (linear combinations of the information messages) provides an unbounded spectral efficiency gain over the classical CIC counterpart, if the ratio of SNR to INR is larger than certain threshold. Then, we consider a Gaussian relay network having the two-user MIMO IC as the main building block. We use PCoF with CIA to convert the MIMO IC into a deterministic finite-field IC. Then, we use a linear precoding scheme over the finite-field to eliminate interference in the finite-field domain. Using this unified approach, we characterize the symmetric sum rate of the two-user MIMO IC with coordination, cognition, and two-hops. We also provide finite-SNR results which show that the proposed coding schemes are competitive against state of the art interference avoidance based on orthogonal access, for Rayleigh fading channels.

Connected through hyperedge HE-1 (induced by source paper "two hop interference channels impact of linear schemes"):
  with members:
    - "capacity results for binary fading interference channels with delayed csit"
    - "two hop interference channels impact of linear time varying schemes"
    - "on interference networks over finite fields"
    - "topological interference management with alternating connectivity"
    - "wireless network information flow a deterministic approach"
    - "interference alignment with asymmetric complex signaling settling the host madsen nosratinia conjecture"
    - "capacity of linear two hop mesh networks with rate splitting decode and forward relaying and cooperation"

Connected through hyperedge HE-2 (induced by source paper "multistage compute and forward with multilevel lattice codes based on product constructions"):
  with members:
    - "lattices over eisenstein integers for compute and forward"
    - "multilevel coding schemes for compute and forward with flexible decoding"
    - "connections between construction d and related constructions of lattices"
    - "an algebraic approach to physical layer network coding"
    - "a proof of threshold saturation for spatially coupled ldpc codes on bms channels"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "a simple proof for the existence of good pairs of nested lattices"

Connected through hyperedge HE-3 (induced by source paper "on interference networks over finite fields"):
  with members:
    - "two hop interference channels impact of linear schemes"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "two hop interference channels impact of linear time varying schemes"
    - "on the capacity of the finite field counterparts of wireless interference networks"
    - "the awgn red alert problem"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "wireless network information flow a deterministic approach"
    - "integer forcing linear receivers"

Connected through hyperedge HE-4 (induced by source paper "two unicast two hop interference network finite field model"):
  with members:
    - "on interference networks over finite fields"
    - "wireless network information flow a deterministic approach"
    - "capacity of a class of symmetric simo gaussian interference channels within o 1"
    - "compute and forward harnessing interference through structured codes"
    - "generalized degrees of freedom of the symmetric gaussian k user interference channel"

Connected through hyperedge HE-5 (induced by source paper "cooperative compute and forward"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "phase precoding for the compute and forward protocol"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "asynchronous physical layer network coding"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "a secure communication game with a relay helping the eavesdropper"
    - "wireless network information flow a deterministic approach"
    - "reliable physical layer network coding"

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)