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: "generalized degrees of freedom of the symmetric gaussian k user interference channel"
  Abstract: We characterize the generalized degrees of freedom of the $K$ user symmetric Gaussian interference channel where all desired links have the same signal-to-noise ratio (SNR) and all undesired links carrying interference have the same interference-to-noise ratio, ${INR}={SNR}^\alpha$. We find that the number of generalized degrees of freedom per user, $d(\alpha)$, does not depend on the number of users, so that the characterization is identical to the 2 user interference channel with the exception of a singularity at $\alpha=1$ where $d(1)=\frac{1}{K}$. The achievable schemes use multilevel coding with a nested lattice structure that opens the possibility that the sum of interfering signals can be decoded at a receiver even though the messages carried by the interfering signals are not decodable.

Connected through hyperedge HE-1 (induced by source paper "fundamental limits of wireless caching under mixed cacheable and uncacheable traffic"):
  with members:
    - "fundamental limits of wireless caching under uneven capacity channels"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on the capacity region of a cache aided gaussian broadcast channel with multi layer messages"
    - "adding transmitters dramatically boosts coded caching gains for finite file sizes"
    - "treating content delivery in multi antenna coded caching as general message sets transmission a dof region perspective"
    - "cache aided communications with multiple antennas at finite snr"
    - "centralized and decentralized cache aided interference management in heterogeneous parallel channels"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"

Connected through hyperedge HE-2 (induced by source paper "optimality of treating inter cell interference as noise under finite precision csit"):
  with members:
    - "on the optimality of treating inter cell interference as noise downlink cellular networks and uplink downlink duality"
    - "towards an extremal network theory robust gdof gain of transmitter cooperation over tin"
    - "on the separability of parallel miso broadcast channels under partial csit a degrees of freedom region perspective"
    - "optimality of simple layered superposition coding in the 3 user miso bc with finite precision csit"
    - "on the optimality of treating interference as noise for interfering multiple access channels"
    - "on the optimality of treating inter cell interference as noise in uplink cellular networks"
    - "opportunistic treating interference as noise"
    - "generalized degrees of freedom of the symmetric k user interference channel under finite precision csit"

Connected through hyperedge HE-3 (induced by source paper "fundamental limits of wireless caching under uneven capacity channels"):
  with members:
    - "subpacketization rate trade off in multi antenna coded caching"
    - "low subpacketization coded caching via projective geometry for broadcast and d2d networks"
    - "a new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"
    - "a low complexity cache aided multi antenna content delivery scheme"
    - "full coded caching gains for cache less users"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "centralized caching with unequal cache sizes"
    - "cache aided communications with multiple antennas at finite snr"

Connected through hyperedge HE-4 (induced by source paper "an adaptive deep learning algorithm based autoencoder for interference channels"):
  with members:
    - "physical adversarial attacks against end to end autoencoder communication systems"
    - "deep learning based channel estimation for beamspace mmwave massive mimo systems"
    - "one bit ofdm receivers via deep learning"
    - "deep reinforcement learning autoencoder with noisy feedback"
    - "end to end learning of communications systems without a channel model"
    - "deep learning for joint source channel coding of text"
    - "an introduction to deep learning for the physical layer"
    - "training of deep neural networks based on distance measures using rmsprop"

Connected through hyperedge HE-5 (induced by source paper "on the optimality of treating inter cell interference as noise downlink cellular networks and uplink downlink duality"):
  with members:
    - "towards an extremal network theory robust gdof gain of transmitter cooperation over tin"
    - "on the optimality of treating interference as noise for interfering multiple access channels"
    - "on the optimality of treating inter cell interference as noise in uplink cellular networks"
    - "opportunistic treating interference as noise"
    - "optimality of treating interference as noise a combinatorial perspective"
    - "on the optimality of treating interference as noise compound interference networks"
    - "on the optimality of treating interference as noise general message sets"
    - "on the optimality of treating interference as noise for k user parallel gaussian interference networks"

Connected through hyperedge HE-6 (induced by source paper "multi layer interference alignment and gdof of the k user asymmetric interference channel"):
  with members:
    - "gdof of interference channel with limited cooperation under finite precision csit"
    - "secure communication over interference channel to jam or not to jam"
    - "optimal secure gdof of symmetric gaussian wiretap channel with a helper"
    - "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"
    - "the generalized degrees of freedom region of the mimo z interference channel with delayed csit"
    - "optimality of treating interference as noise a combinatorial perspective"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "on the vector broadcast channel with alternating csit a topological perspective"

Connected through hyperedge HE-7 (induced by source paper "generalized degrees of freedom of noncoherent diamond networks"):
  with members:
    - "generalized degrees freedom of noncoherent mimo with asymmetric links"
    - "capacity approximations for gaussian relay networks"
    - "cooperative relaying at finite snr role of quantize map and forward"
    - "wireless network information flow a deterministic approach"
    - "the approximate capacity of the gaussian n relay diamond network"
    - "on noncoherent fading relay channels at high signal to noise ratio"
    - "wireless network simplification the gaussian n relay diamond network"
    - "approximately achieving gaussian relay network capacity with lattice codes"

Connected through hyperedge HE-8 (induced by source paper "strong interference alignment"):
  with members:
    - "channel aided interference alignment"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "ergodic fading interference channels sum capacity and separability"
    - "ergodic interference alignment"
    - "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)