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: "a lossy graph model for delay reduction in generalized instantly decodable network coding"
  Abstract: The problem of minimizing the decoding delay in Generalized instantly decodable network coding (G-IDNC) for both perfect and lossy feedback scenarios is formulated as a maximum weight clique problem over the G-IDNC graph in . In this letter, we introduce a new lossy G-IDNC graph (LG-IDNC) model to further minimize the decoding delay in lossy feedback scenarios. Whereas the G-IDNC graph represents only doubtless combinable packets, the LG-IDNC graph represents also uncertain packet combinations, arising from lossy feedback events, when the expected decoding delay of XORing them among themselves or with other certain packets is lower than that expected when sending these packets separately. We compare the decoding delay performance of LG-IDNC and G-IDNC graphs through extensive simulations. Numerical results show that our new LG-IDNC graph formulation outperforms the G-IDNC graph formulation in all lossy feedback situations and achieves significant improvement in the decoding delay especially when the feedback erasure probability is higher than the packet erasure probability.

Connected through hyperedge HE-1 (induced by source paper "a tutorial on clique problems in communications and signal processing"):
  with members:
    - "eptas for max clique on disks and unit balls"
    - "enhanced uplink resource allocation in non orthogonal multiple access systems"
    - "discovering patterns of interest in ip traffic using cliques in bipartite link streams"
    - "delivery time reduction for order constrained applications using binary network codes"
    - "data dissemination using instantly decodable binary codes in fog radio access networks"
    - "on multiaspect graphs"
    - "distributed hybrid scheduling in multi cloud networks using conflict graphs"
    - "resilient backhaul network design using hybrid radio free space optical technology"

Connected through hyperedge HE-2 (induced by source paper "data dissemination using instantly decodable binary codes in fog radio access networks"):
  with members:
    - "bandwidth management vms live migration in wireless fog computing for 5g networks"
    - "fog computing based radio access networks issues and challenges"
    - "rate aware instantly decodable network codes"
    - "on minimizing the maximum broadcast decoding delay for instantly decodable network coding"
    - "a survey on device to device communication in cellular networks"
    - "delay reduction in multi hop device to device communication using network coding"
    - "completion time reduction in instantly decodable network coding through decoding delay control"
    - "a game theoretic approach to minimize the completion time of network coded cooperative data exchange"

Connected through hyperedge HE-3 (induced by source paper "rate aware instantly decodable network codes"):
  with members:
    - "on minimizing the maximum broadcast decoding delay for instantly decodable network coding"
    - "decoding delay controlled reduction of completion time in instantly decodable network coding"
    - "a game theoretic framework for decentralized cooperative data exchange using network coding"
    - "delay reduction in multi hop device to device communication using network coding"
    - "coding based data broadcasting for time critical applications with rate adaptation"
    - "completion time reduction in instantly decodable network coding through decoding delay control"
    - "a game theoretic approach to minimize the completion time of network coded cooperative data exchange"
    - "partially blind instantly decodable network codes for lossy feedback environment"

Connected through hyperedge HE-4 (induced by source paper "delay reduction in multi hop device to device communication using network coding"):
  with members:
    - "fundamental green tradeoffs progresses challenges and impacts on 5g networks"
    - "data dissemination using instantly decodable binary codes in fog radio access networks"
    - "an overview of sustainable green 5g networks"
    - "rate aware instantly decodable network codes"
    - "on minimizing the maximum broadcast decoding delay for instantly decodable network coding"
    - "decoding delay controlled reduction of completion time in instantly decodable network coding"
    - "a game theoretic framework for decentralized cooperative data exchange using network coding"
    - "completion time reduction in instantly decodable network coding through decoding delay control"

Connected through hyperedge HE-5 (induced by source paper "a game theoretic approach to minimize the completion time of network coded cooperative data exchange"):
  with members:
    - "on minimizing the maximum broadcast decoding delay for instantly decodable network coding"
    - "completion time reduction in instantly decodable network coding through decoding delay control"
    - "partially blind instantly decodable network codes for lossy feedback environment"
    - "exchanging third party information with minimum transmission cost"
    - "joint rate selection and wireless network coding for time critical applications"

Connected through hyperedge HE-6 (induced by source paper "on minimizing the maximum broadcast decoding delay for instantly decodable network coding"):
  with members:
    - "partially blind instantly decodable network codes for lossy feedback environment"

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)