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: "two unicast wireless networks characterizing the degrees of freedom"
  Abstract: We consider two-source two-destination (i.e., two-unicast) multi-hop wireless networks that have a layered structure with arbitrary connectivity. We show that, if the channel gains are chosen independently according to continuous distributions, then, with probability 1, two-unicast layered Gaussian networks can only have 1, 3/2 or 2 sum degrees-of-freedom (unless both source-destination pairs are disconnected, in which case no degrees-of-freedom can be achieved). We provide sufficient and necessary conditions for each case based on network connectivity and a new notion of source-destination paths with manageable interference. Our achievability scheme is based on forwarding the received signals at all nodes, except for a small fraction of them in at most two key layers. Hence, we effectively create a "condensed network" that has at most four layers (including the sources layer and the destinations layer). We design the transmission strategies based on the structure of this condensed network. The converse results are obtained by developing information-theoretic inequalities that capture the structures of the network connectivity. Finally, we extend this result and characterize the full degrees-of-freedom region of two-unicast layered wireless networks.

Connected through hyperedge HE-1 (induced by source paper "two hop interference channels impact of linear time varying schemes"):
  with members:
    - "capacity results for binary fading interference channels with delayed csit"
    - "degrees of freedom of two hop wireless networks everyone gets the entire cake"
    - "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 "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"
    - "computation alignment capacity approximation without noise accumulation"
    - "interference alignment from degrees of freedom to constant gap capacity approximations"
    - "multiple unicast capacity of 2 source 2 sink networks"

Connected through hyperedge HE-3 (induced by source paper "computation alignment capacity approximation without noise accumulation"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "an algebraic approach to physical layer network coding"
    - "wireless network information flow a deterministic approach"
    - "the approximate capacity of the gaussian n relay diamond network"
    - "the degrees of freedom of compute and forward"
    - "nested lattice codes for gaussian relay networks with interference"
    - "multiple unicast capacity of 2 source 2 sink networks"
    - "the approximate capacity of the many to one and one to many gaussian interference channels"

Connected through hyperedge HE-4 (induced by source paper "subspace alignment chains and the degrees of freedom of the three user mimo interference channel"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "settling the feasibility of interference alignment for the mimo interference channel the symmetric square case"
    - "a new achievable dof region for the 3 user mxn symmetric interference channel"
    - "geometry of the 3 user mimo interference channel"
    - "retrospective interference alignment"
    - "interference alignment for the k user mimo interference channel"
    - "exploiting channel correlations simple interference alignment schemes with no csit"

Connected through hyperedge HE-5 (induced by source paper "multiple unicast capacity of 2 source 2 sink networks"):
  with members:
    - "on the solvability of 2 pair unicast networks a cut based characterization"
    - "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"
    - "real interference alignment with real numbers"
    - "degrees of freedom region for the mimo x channel"

Connected through hyperedge HE-6 (induced by source paper "aligned interference neutralization and the degrees of freedom of the 2 user interference channel with instantaneous relay"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "completely stale transmitter channel state information is still very useful"
    - "aligned interference neutralization and the degrees of freedom of the 2x2x2 interference channel"

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)