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: "cellular controlled delay tcp c2tcp"
  Abstract: Cellular networks have special characteristics including highly variable channels, fast fluctuating capacities, deep per user buffers, self-inflicted queuing delays, radio uplink/downlink scheduling delays, etc. These distinguishing properties make the problem of achieving low latency and high throughput in cellular networks more challenging than in wired networks. That's why in this environment, TCP and its flavors, which are generally designed for wired networks, perform poorly. #R##N#To cope with these challenges, we present C2TCP, a flexible end-to-end solution targeting interactive applications requiring high throughput and low delay in cellular networks. C2TCP stands on top of loss-based TCP and brings it delay sensitivity without requiring any network state profiling, channel prediction, or complicated rate adjustment mechanisms. The key idea behind C2TCP is to absorb dynamics of unpredictable cellular channels by investigating local minimum delay of packets in a moving time window and react to the cellular network's capacity changes very fast. #R##N#Through extensive trace-based evaluations using traces from five commercial LTE and 3G networks, we have compared performance of C2TCP with various TCP variants, and state-of-the-art schemes including BBR, Verus, and Sprout. Results show that on average, C2TCP outperforms these schemes and achieves lower average 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"
    - "c2tcp a flexible cellular tcp to meet stringent delay requirements"
    - "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"
    - "c2tcp a flexible cellular tcp to meet stringent delay requirements"
    - "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"
    - "c2tcp a flexible cellular tcp to meet stringent delay requirements"
    - "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"
    - "c2tcp a flexible cellular tcp to meet stringent delay requirements"
    - "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"
    - "c2tcp a flexible cellular tcp to meet stringent delay requirements"

Connected through hyperedge HE-6 (induced by source paper "c2tcp a flexible cellular tcp to meet stringent delay requirements"):
  with members:
    - "hyline a simple and practical flow scheduling for commodity datacenters"
    - "finishing flows quickly with preemptive scheduling"

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)