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: "c2tcp a flexible cellular tcp to meet stringent delay requirements"
  Abstract: Since current widely available network protocols/systems are mainly throughput-oriented designs, meeting stringent delay requirements of new applications such as virtual reality and vehicle-to-vehicle communications on cellular network requires new network protocol/system designs. C2TCP is an effort toward that new design direction. #R##N#C2TCP is inspired by in-network active queue management (AQM) designs such as RED and CoDel and motivated by lack of a flexible end-to-end (e2e) approach which can adapt itself to different applications' QoS requirements without modifying any network devices. It copes with unique challenges in cellular networks for achieving ultra-low latency (including highly variable channels, deep per-user buffers, self-inflicted queuing delays, radio uplink/downlink scheduling delays) and intends to satisfy stringent delay requirements of different applications while maximizing the throughput. C2TCP works on top of classic throughput-oriented TCP and accommodates various target delays without requiring any channel prediction, network state profiling, or complicated rate adjustment mechanisms. #R##N#We have evaluated C2TCP in both real-world environment and extensive trace-based emulations and compared its performance with different TCP variants and state-of-the-art schemes including PCC-Vivace, Google's BBR, Verus, Sprout, TCP Westwood, and Cubic. Results show that C2TCP outperforms all these schemes and achieves lower average delay, jitter, and 95th percentile delay for packets.

Connected through hyperedge HE-1 (induced by source paper "to schedule or not to schedule when no scheduling can beat the best known flow scheduling algorithm in datacenter networks"):
  with members:
    - "sharpedge an asynchronous and core agnostic solution to guarantee bounded delays"
    - "make tcp great again in cellular networks a deep reinforcement learning approach"
    - "toward optimal performance with network assisted tcp at mobile edge"
    - "hyline a simple and practical flow scheduling for commodity datacenters"
    - "cellular controlled delay tcp c2tcp"
    - "finishing flows quickly with preemptive scheduling"

Connected through hyperedge HE-2 (induced by source paper "sharpedge an asynchronous and core agnostic solution to guarantee bounded delays"):
  with members:
    - "bounding queue delay in cellular networks to support ultra low latency applications"
    - "make tcp great again in cellular networks a deep reinforcement learning approach"
    - "toward optimal performance with network assisted tcp at mobile edge"
    - "hyline a simple and practical flow scheduling for commodity datacenters"
    - "cellular controlled delay tcp c2tcp"
    - "finishing flows quickly with preemptive scheduling"

Connected through hyperedge HE-3 (induced by source paper "make tcp great again in cellular networks a deep reinforcement learning approach"):
  with members:
    - "bounding queue delay in cellular networks to support ultra low latency applications"
    - "on the generalization gap in reparameterizable reinforcement learning"
    - "toward optimal performance with network assisted tcp at mobile edge"
    - "learning and generalization in overparameterized neural networks going beyond two layers"
    - "learning to adapt in dynamic real world environments through meta reinforcement learning"
    - "quantifying generalization in reinforcement learning"
    - "cellular controlled delay tcp c2tcp"
    - "successor features for transfer in reinforcement learning"

Connected through hyperedge HE-4 (induced by source paper "bounding queue delay in cellular networks to support ultra low latency applications"):
  with members:
    - "toward optimal performance with network assisted tcp at mobile edge"
    - "cellular controlled delay tcp c2tcp"
    - "bola near optimal bitrate adaptation for online videos"

Connected through hyperedge HE-5 (induced by source paper "toward optimal performance with network assisted tcp at mobile edge"):
  with members:
    - "hyline a simple and practical flow scheduling for commodity datacenters"
    - "cellular controlled delay tcp c2tcp"

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)