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: "degrees of freedom of multi source relay networks"
  Abstract: We study a multi-source Gaussian relay network consisting of $K$ source--destination pairs having $K$ unicast sessions. We assume $M$ layers of relays between the sources and the destinations. We find achievable degrees of freedom of the network. Our schemes are based on interference alignment at the transmitters and symbol extension and opportunistic interference cancellation at the relays. For $K$-$L$-$K$ networks, i.e., 2-hop network with $L$ relays, we show $\min\{K,K/2+L/(2(K-1))\}$ degrees of freedom are achievable. For $K$-hop networks with $K$ relays in each layer, we show the full $K$ degrees of freedom are achievable provided that $K$ is even and the channel distribution satisfies a certain symmetry.

Connected through hyperedge HE-1 (induced by source paper "on achievable schemes of interference alignment in constant channels via finite amplify and forward relays"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "interference alignment as a rank constrained rank minimization"
    - "degrees of freedom region of a class of multi source gaussian relay networks"
    - "on feasibility of interference alignment in mimo interference networks"
    - "aligned interference neutralization and the degrees of freedom of the 2x2x2 interference channel"
    - "on the degrees of freedom of the compound mimo broadcast channels with finite states"
    - "on feasibility of interference alignment in mimo interference networks"
    - "ergodic interference alignment"

Connected through hyperedge HE-2 (induced by source paper "degrees of freedom of multi hop mimo broadcast networks with delayed csit"):
  with members:
    - "on the degrees of freedom of k user siso interference and x channels with delayed csit"
    - "completely stale transmitter channel state information is still very useful"

Connected through hyperedge HE-3 (induced by source paper "capacity of multiple unicast in wireless networks a polymatroidal approach"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "multiuser broadcast erasure channel with feedback capacity and algorithms"
    - "degrees of freedom of interference channels with comp transmission and reception"
    - "multicommodity flows and cuts in polymatroidal networks"
    - "wireless network information flow a deterministic approach"
    - "computation alignment capacity approximation without noise accumulation"
    - "the degrees of freedom of the 2 hop 2 user interference channel with feedback"
    - "a digital interface for gaussian relay and interference networks lifting codes from the discrete superposition model"

Connected through hyperedge HE-4 (induced by source paper "degrees of freedom region of a class of multi source gaussian relay networks"):
  with members:
    - "the approximate capacity of the many to one and one to many gaussian interference channels"
    - "noisy network coding"
    - "ergodic interference alignment"
    - "compute and forward harnessing interference through structured codes"
    - "degrees of freedom of the k user m times n mimo interference channel"
    - "approximate capacity of gaussian relay networks"
    - "gaussian interference channel capacity to within one bit"
    - "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.IT(Information Theory)