human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "efficient csma using regional free energy approximations"):
  Abstract: CSMA (Carrier Sense Multiple Access) algorithms based on Gibbs sampling can achieve throughput optimality if certain parameters called the fugacities are appropriately chosen. However, the problem of computing these fugacities is NP-hard. In this work, we derive estimates of the fugacities by using a framework called the regional free energy approximations. In particular, we derive explicit expressions for approximate fugacities corresponding to any feasible service rate vector. We further prove that our approximate fugacities are exact for the class of chordal graphs. A distinguishing feature of our work is that the regional approximations that we propose are tailored to conflict graphs with small cycles, which is a typical characteristic of wireless networks. Numerical results indicate that the fugacities obtained by the proposed method are quite accurate and significantly outperform the existing Bethe approximation based techniques.

Includes members:
  Member "explicit back off rates for achieving target throughputs in csma ca networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "free energy approximations for csma networks")
  Member "free energy approximations for csma networks":
    also connected through other hyperedges:
      (none)
  Member "adaptive csma under the sinr model efficient approximation algorithms for throughput and utility maximization":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "free energy approximations for csma networks")
  Member "csma using the bethe approximation scheduling and utility maximization":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "explicit back off rates for achieving target throughputs in csma ca networks")
  Member "throughput optimal random access with order optimal delay":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "explicit back off rates for achieving target throughputs in csma ca networks")
  Member "applications of belief propagation in csma wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "free energy approximations for csma networks")
  Member "fast mixing of parallel glauber dynamics and low delay csma scheduling":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "effective wireless scheduling via hypergraph sketches")
  Member "q csma queue length based csma ca algorithms for achieving maximum throughput and low delay in wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the power of randomization for scheduling real time traffic in wireless networks")

Question: Please tell me which class the source paper 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.NI(Networking and Internet Architecture)