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 region of a class of multi source gaussian relay networks"
  Abstract: We study a layered $K$-user $M$-hop Gaussian relay network consisting of $K_m$ nodes in the $m^{\operatorname{th}}$ layer, where $M\geq2$ and $K=K_1=K_{M+1}$. We observe that the time-varying nature of wireless channels or fading can be exploited to mitigate the inter-user interference. The proposed amplify-and-forward relaying scheme exploits such channel variations and works for a wide class of channel distributions including Rayleigh fading. We show a general achievable degrees of freedom (DoF) region for this class of Gaussian relay networks. Specifically, the set of all $(d_1,..., d_K)$ such that $d_i\leq 1$ for all $i$ and $\sum_{i=1}^K d_i\leq K_{\Sigma}$ is achievable, where $d_i$ is the DoF of the $i^{\operatorname{th}}$ source--destination pair and $K_{\Sigma}$ is the maximum integer such that $K_{\Sigma}\leq \min_m\{K_m\}$ and $M/K_{\Sigma}$ is an integer. We show that surprisingly the achievable DoF region coincides with the cut-set outer bound if $M/\min_m\{K_m\}$ is an integer, thus interference-free communication is possible in terms of DoF. We further characterize an achievable DoF region assuming multi-antenna nodes and general message set, which again coincides with the cut-set outer bound for a certain class of networks.

Connected through hyperedge HE-1 (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"
    - "two unicast wireless networks characterizing the degrees of freedom"
    - "interference alignment from degrees of freedom to constant gap capacity approximations"

Connected through hyperedge HE-2 (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"
    - "on feasibility of interference alignment in mimo interference networks"
    - "aligned interference neutralization and the degrees of freedom of the 2x2x2 interference channel"
    - "degrees of freedom of multi source relay networks"
    - "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-3 (induced by source paper "degrees of freedom of two hop wireless networks everyone gets the entire cake"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "two hop interference channels impact of linear time varying schemes"
    - "wireless network information flow a deterministic approach"
    - "the approximate capacity of the many to one and one to many gaussian interference channels"
    - "approximately achieving gaussian relay network capacity with lattice codes"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"
    - "capacity of symmetric k user gaussian very strong interference channels"

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)