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: "komondor a wireless network simulator for next generation high density wlans"
  Abstract: Komondor is a wireless network simulator for next-generation wireless local area networks (WLANs). The simulator has been conceived as an accessible (ready-to-use) open source tool for research on wireless networks and academia. An important advantage of Komondor over other well-known wireless simulators lies in its high event processing rate, which is furnished by the simplification of the core operation. This allows outperforming the execution time of other simulators like ns-3, thus supporting large-scale scenarios with a huge number of nodes. In this paper, we provide insights into the Komondor simulator and overview its main features, development stages and use cases. The operation of Komondor is validated in a variety of scenarios against different tools: the ns-3 simulator and two analytical tools based on Continuous Time Markov Networks (CTMNs) and the Bianchi's DCF model. Results show that Komondor captures the IEEE 802.11 operation very similarly to ns-3. Finally, we discuss the potential of Komondor for simulating complex environments -- even with machine learning support -- in next-generation WLANs by easily developing new user-defined modules of code

Connected through hyperedge HE-1 (induced by source paper "spatial reuse in ieee 802 11ax wlans"):
  with members:
    - "potential and pitfalls of multi armed bandits for decentralized spatial reuse in wlans"
    - "to overlap or not to overlap enabling channel bonding in high density wlans"
    - "dynamic channel bonding in spatially distributed high density wlans"
    - "survey and performance evaluation of the upcoming next generation wlan standard ieee 802 11ax"
    - "optimal resource allocation in ieee 802 11ax uplink ofdma with scheduled access"
    - "collaborative spatial reuse in wireless networks via selfish multi armed bandits"
    - "mu mimo mac protocols for wireless local area networks a survey"
    - "effective static and adaptive carrier sensing for dense wireless csma networks"

Connected through hyperedge HE-2 (induced by source paper "a flexible machine learning aware architecture for future wlans"):
  with members:
    - "machine learning for networking workflow advances and opportunities"
    - "deep learning in mobile and wireless networking a survey"
    - "deep gradient compression reducing the communication bandwidth for distributed training"
    - "unsupervised machine learning for networking techniques applications and research challenges"
    - "wireless communications in the era of big data"

Connected through hyperedge HE-3 (induced by source paper "on the performance of the spatial reuse operation in ieee 802 11ax wlans"):
  with members:
    - "potential and pitfalls of multi armed bandits for decentralized spatial reuse in wlans"
    - "survey and performance evaluation of the upcoming next generation wlan standard ieee 802 11ax"
    - "the tmb path loss model for 5 ghz indoor wifi scenarios on the empirical relationship between rssi mcs and spatial streams"
    - "collaborative spatial reuse in wireless networks via selfish multi armed bandits"

Connected through hyperedge HE-4 (induced by source paper "online primary channel selection for dynamic channel bonding in high density wlans"):
  with members:
    - "to overlap or not to overlap enabling channel bonding in high density wlans"
    - "dynamic channel bonding in spatially distributed high density wlans"
    - "the tmb path loss model for 5 ghz indoor wifi scenarios on the empirical relationship between rssi mcs and spatial streams"
    - "on the interactions between multiple overlapping wlans using channel bonding"

Connected through hyperedge HE-5 (induced by source paper "dynamic channel bonding in spatially distributed high density wlans"):
  with members:
    - "to overlap or not to overlap enabling channel bonding in high density wlans"
    - "a channel allocation algorithm to maximize aggregate throughputs in dcb wlans"
    - "ieee 802 11ax high efficiency wlans"
    - "on the interactions between multiple overlapping wlans using channel bonding"
    - "analysis of dynamic channel bonding in dense networks of wlans"
    - "throughput analysis in csma ca networks using continuous time markov networks a tutorial"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

Connected through hyperedge HE-6 (induced by source paper "to overlap or not to overlap enabling channel bonding in high density wlans"):
  with members:
    - "dynamic channel bonding in spatially distributed high density wlans"
    - "toward low latency and ultra reliable virtual reality"
    - "a channel allocation algorithm to maximize aggregate throughputs in dcb wlans"
    - "ieee 802 11ax high efficiency wlans"
    - "on the interactions between multiple overlapping wlans using channel bonding"
    - "analysis of dynamic channel bonding in dense networks of wlans"

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.NI(Networking and Internet Architecture)