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: "adaptive prioritized random linear coding and scheduling for layered data delivery from multiple servers"
  Abstract: In this paper, we deal with the problem of jointly determining the optimal coding strategy and the scheduling decisions when receivers obtain layered data from multiple servers. The layered data is encoded by means of prioritized random linear coding (PRLC) in order to be resilient to channel loss while respecting the unequal levels of importance in the data, and data blocks are transmitted simultaneously in order to reduce decoding delays and improve the delivery performance. We formulate the optimal coding and scheduling decisions problem in our novel framework with the help of Markov decision processes (MDP), which are effective tools for modeling adapting streaming systems. Reinforcement learning approaches are then proposed to derive reduced computational complexity solutions to the adaptive coding and scheduling problems. The novel reinforcement learning approaches and the MDP solution are examined in an illustrative example for scalable video transmission . Our methods offer large performance gains over competing methods that deliver the data blocks sequentially. The experimental evaluation also shows that our novel algorithms offer continuous playback and guarantee small quality variations which is not the case for baseline solutions. Finally, our work highlights the advantages of reinforcement learning algorithms to forecast the temporal evolution of data demands and to decide the optimal coding and scheduling decisions .

Connected through hyperedge HE-1 (induced by source paper "a rolling horizon dynamic programming approach for collaborative caching"):
  with members:
    - "popnetcod a popularity based caching policy for network coding enabled named data networking"
    - "content popularity prediction towards location aware mobile edge caching"
    - "using grouped linear prediction and accelerated reinforcement learning for online content caching"
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "caching with time varying popularity profiles a learning theoretic perspective"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "wireless content caching for small cell and d2d networks"
    - "joint caching routing and channel assignment for collaborative small cell cellular networks"

Connected through hyperedge HE-2 (induced by source paper "fast reinforcement learning for decentralized mac optimization"):
  with members:
    - "distributed learning for low latency machine type communication in a massive internet of things"
    - "coded slotted aloha a graph based method for uncoordinated multiple access"
    - "playing atari with deep reinforcement learning"
    - "sliding window based contention resolution diversity slotted aloha"

Connected through hyperedge HE-3 (induced by source paper "instantly decodable network coding for real time scalable video broadcast over wireless networks"):
  with members:
    - "resource allocation frameworks for network coded layered multimedia multicast services"
    - "fulcrum network codes a code for fluid allocation of complexity"
    - "coding based data broadcasting for time critical applications with rate adaptation"
    - "random linear network coding for wireless layered video broadcast general design methods for adaptive feedback free transmission"
    - "partially blind instantly decodable network codes for lossy feedback environment"
    - "network coding meets multimedia a review"
    - "joint coding and scheduling optimization in wireless systems with varying delay sensitivities"
    - "completion delay minimization for instantly decodable network codes"

Connected through hyperedge HE-4 (induced by source paper "network coding for video distortion reduction in device to device communications"):
  with members:
    - "content aware instantly decodable network coding over wireless networks"
    - "delay reduction in multi hop device to device communication using network coding"
    - "random linear network coding for wireless layered video broadcast general design methods for adaptive feedback free transmission"
    - "data dissemination in wireless networks with network coding"
    - "coded cooperative data exchange in multihop networks"
    - "coded cooperative data exchange problem for general topologies"
    - "joint coding and scheduling optimization in wireless systems with varying delay sensitivities"
    - "completion delay minimization for instantly decodable network codes"

Connected through hyperedge HE-5 (induced by source paper "random linear network coding for wireless layered video broadcast general design methods for adaptive feedback free transmission"):
  with members:
    - "analysis and optimization of sparse random linear network coding for reliable multicast services"
    - "resource allocation frameworks for network coded layered multimedia multicast services"
    - "inter session network coding for transmitting multiple layered streams over single hop wireless networks"
    - "joint optimization of throughput and packet drop rate for delay sensitive applications in tdd satellite network coded systems"
    - "network coding meets multimedia a review"
    - "effective delay control in online network coding"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

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)