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: "on the optimality of treating interference as noise compound interference networks"
  Abstract: In a K-user Gaussian interference channel, it has been shown by Geng et al. that if for each user the desired signal strength is no less than the sum of the strengths of the strongest interference from this user and the strongest interference to this user (all values in dB scale), then power control and treating interference as noise (TIN) is optimal from the perspective of generalized degrees of freedom (GDoF) and achieves the entire channel capacity region to within a constant gap. In this work, we generalize the optimality of TIN to compound networks. We show that for a K-user compound Gaussian interference channel, if in every possible state for each receiver, the channel always satisfies the TIN-optimality condition identified by Geng et al., then the GDoF region of the compound channel is the intersection of the GDoF regions of all possible network realizations, which is achievable by power control and TIN. Furthermore, we demonstrate that for a general K-user compound interference channel, regardless of the number of states of each receiver, we can always construct a counterpart K-user regular interference channel that has the same TIN region as the original compound channel. The regular interference channel has only one state for each receiver, which may be different from all of the original states. Solving the GDoF-based power control problem for the compound channel is equivalent to solving the same problem in its regular counterpart. Exploring the power control problem further we develop a centralized power control scheme for K-user compound interference channels, to achieve all the Pareto optimal GDoF tuples. Finally, based on this scheme, we devise an iterative power control algorithm which requires at most K updates to obtain the globally optimal power allocation for any feasible GDoF tuple.

Connected through hyperedge HE-1 (induced by source paper "towards an extremal network theory robust gdof gain of transmitter cooperation over tin"):
  with members:
    - "on multi cell uplink downlink duality with treating inter cell interference as noise"
    - "optimality of simple layered superposition coding in the 3 user miso bc with finite precision csit"
    - "on the optimality of treating inter cell interference as noise in uplink cellular networks"
    - "opportunistic treating interference as noise"
    - "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"
    - "aligned image sets and the generalized degrees of freedom of symmetric mimo interference channel with partial csit"
    - "network coherence time matters aligned image sets and the degrees of freedom of interference networks with finite precision csit and perfect csir"
    - "elevated multiplexing and signal space partitioning in the 2 user mimo ic with partial csit"

Connected through hyperedge HE-2 (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 general message sets"
    - "on the optimality of treating interference as noise for k user parallel gaussian interference networks"
    - "wireless network information flow a deterministic approach"

Connected through hyperedge HE-3 (induced by source paper "on multi cell uplink downlink duality with treating inter cell interference as noise"):
  with members:
    - "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 general message sets"
    - "on the optimality of treating interference as noise for k user parallel gaussian interference networks"
    - "downlink interference alignment"

Connected through hyperedge HE-4 (induced by source paper "on the optimality of treating inter cell interference as noise in uplink cellular networks"):
  with members:
    - "on multi cell uplink downlink duality with treating inter cell interference as noise"
    - "on the optimality of treating interference as noise for interfering multiple access channels"
    - "opportunistic treating interference as noise"
    - "interference as noise friend or foe"
    - "optimality of treating interference as noise a combinatorial perspective"
    - "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"
    - "achievable and crystallized rate regions of the interference channel with interference as noise"

Connected through hyperedge HE-5 (induced by source paper "opportunistic treating interference as noise"):
  with members:
    - "on multi cell uplink downlink duality with treating inter cell interference as noise"
    - "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"
    - "robust signaling for bursty interference"
    - "multiaccess communication via a broadcast approach adapted to the multiuser channel"
    - "optimality of treating interference as noise a combinatorial perspective"
    - "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 "on the optimality of treating interference as noise for interfering multiple access channels"):
  with members:
    - "optimality of treating interference as noise a combinatorial perspective"
    - "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"
    - "achievable and crystallized rate regions of the interference channel with interference as noise"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-7 (induced by source paper "optimality of treating interference as noise a combinatorial perspective"):
  with members:
    - "on the optimality of treating interference as noise a combinatorial optimization perspective"
    - "topological interference management with transmitter cooperation"
    - "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"
    - "on the optimality of treating interference as noise"
    - "base station assisted device to device communications for high throughput wireless video networks"
    - "on the capacity of the k user cyclic gaussian interference channel"
    - "mimo downlink scheduling with non perfect channel state knowledge"

Connected through hyperedge HE-8 (induced by source paper "on the optimality of treating interference as noise a combinatorial optimization perspective"):
  with members:
    - "topological interference management with transmitter cooperation"
    - "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"
    - "on the capacity of the k user cyclic gaussian interference channel"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian 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)