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: "on minimizing the maximum broadcast decoding delay for instantly decodable network coding"
  Abstract: In this paper, we consider the problem of minimizing the maximum broadcast decoding delay experienced by all the receivers of generalized instantly decodable network coding (IDNC). Unlike the sum decoding delay, the maximum decoding delay as a definition of delay for IDNC allows a more equitable distribution of the delays between the different receivers and thus a better Quality of Service (QoS). In order to solve this problem, we first derive the expressions for the probability distributions of maximum decoding delay increments. Given these expressions, we formulate the problem as a maximum weight clique problem in the IDNC graph. Although this problem is known to be NP-hard, we design a greedy algorithm to perform effective packet selection. Through extensive simulations, we compare the sum decoding delay and the max decoding delay experienced when applying the policies to minimize the sum decoding delay [1] and our policy to reduce the max decoding delay. Simulations results show that our policy gives a good agreement among all the delay aspects in all situations and outperforms the sum decoding delay policy to effectively minimize the sum decoding delay when the channel conditions become harsher. They also show that our definition of delay significantly improve the number of served receivers when they are subject to strict delay constraints.

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"
    - "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"
    - "what will 5g be"

Connected through hyperedge HE-3 (induced by source paper "rate aware instantly decodable network codes"):
  with members:
    - "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"
    - "a lossy graph model for delay reduction in generalized instantly decodable network coding"
    - "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"
    - "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"
    - "a game theoretic approach to minimize the completion time of network coded cooperative data exchange"

Connected through hyperedge HE-5 (induced by source paper "a game theoretic framework for decentralized cooperative data exchange using network coding"):
  with members:
    - "decoding delay controlled reduction of completion time in instantly decodable 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"
    - "partially blind instantly decodable network codes for lossy feedback environment"
    - "delay minimization for instantly decodable network coding in persistent channels with feedback intermittence"
    - "reinforcement learning a survey"

Connected through hyperedge HE-6 (induced by source paper "a game theoretic approach to minimize the completion time of network coded cooperative data exchange"):
  with members:
    - "completion time reduction in instantly decodable network coding through decoding delay control"
    - "a lossy graph model for delay reduction in generalized instantly decodable network coding"
    - "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"

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)