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: "age minimal transmission in energy harvesting two hop networks"
  Abstract: We consider an energy harvesting two-hop network where a source is communicating to a destination through a relay. During a given communication session time, the source collects measurement updates from a physical phenomenon and sends them to the relay, which then forwards them to the destination. The objective is to send these updates to the destination as timely as possible; namely, such that the total age of information is minimized by the end of the communication session, subject to energy causality constraints at the source and the relay, and data causality constraints at the relay. Both the source and the relay use fixed, yet possibly different, transmission rates. Hence, each update packet incurs fixed non-zero transmission delays. We first solve the single-hop version of this problem, and then show that the two-hop problem is solved by treating the source and relay nodes as one combined node, with some parameter transformations, and solving a single-hop problem between that combined node and the destination.

Connected through hyperedge HE-1 (induced by source paper "who should google scholar update more often"):
  with members:
    - "optimal selective encoding for timely updates"
    - "trading off computation with transmission in status update systems"
    - "average peak age of information minimization in uav assisted iot networks"
    - "a reinforcement learning framework for optimizing age of information in rf powered communication systems"
    - "age of information aware cache updating with file and age dependent update durations"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "timely distributed computation with stragglers"
    - "age of information in multicast networks with multiple update streams"

Connected through hyperedge HE-2 (induced by source paper "partial updates losing information for freshness"):
  with members:
    - "optimal selective encoding for timely updates"
    - "trading off computation with transmission in status update systems"
    - "on timely channel coding with hybrid arq"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "timely distributed computation with stragglers"
    - "age of information in multicast networks with multiple update streams"
    - "age of information for updates with distortion"
    - "using erasure feedback for online timely updating with an energy harvesting sensor"

Connected through hyperedge HE-3 (induced by source paper "optimal selective encoding for timely updates"):
  with members:
    - "trading off computation with transmission in status update systems"
    - "on timely channel coding with hybrid arq"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "timely distributed computation with stragglers"
    - "age of information in multicast networks with multiple update streams"
    - "age of information in g g 1 1 systems age expressions bounds special cases and optimization"
    - "age of information for updates with distortion"
    - "using erasure feedback for online timely updating with an energy harvesting sensor"

Connected through hyperedge HE-4 (induced by source paper "timely status updating through intermittent sensing and transmission"):
  with members:
    - "optimizing information freshness in computing enabled iot networks"
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "trading off computation with transmission in status update systems"
    - "waiting before serving a companion to packet management in status update systems"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "the age of information in networks moments distributions and sampling"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"
    - "can determinacy minimize age of information"

Connected through hyperedge HE-5 (induced by source paper "optimizing information freshness in computing enabled iot networks"):
  with members:
    - "on peak age of information in data preprocessing enabled iot networks"
    - "age of information in a network of preemptive servers"
    - "age optimal updates of multiple information flows"
    - "age of information in g g 1 1 systems"
    - "status updates in a multi stream m g 1 1 preemptive queue"
    - "a survey on mobile edge computing the communication perspective"
    - "status updates through m g 1 1 queues with harq"
    - "age optimal information updates in multihop networks"

Connected through hyperedge HE-6 (induced by source paper "joint transmission and computing scheduling for status update with mobile edge computing"):
  with members:
    - "trading off computation with transmission in status update systems"
    - "age of information for computation intensive messages in mobile edge computing"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "timely cloud computing preemption and waiting"
    - "age of information in a network of preemptive servers"
    - "joint information freshness and completion time optimization for vehicular networks"
    - "a survey on mobile edge computing the communication perspective"
    - "age optimal information updates in multihop networks"

Connected through hyperedge HE-7 (induced by source paper "timely updates in energy harvesting two hop networks offline and online policies"):
  with members:
    - "using erasure feedback for online timely updating with an energy harvesting sensor"
    - "online timely status updates with erasures for energy harvesting sensors"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"
    - "coded status updates in an energy harvesting erasure channel"
    - "status updates in a multi stream m g 1 1 preemptive queue"
    - "age minimal online policies for energy harvesting sensors with random battery recharges"
    - "sending information through status updates"
    - "age minimal transmission for energy harvesting sensors with finite batteries online policies"

Connected through hyperedge HE-8 (induced by source paper "trading off computation with transmission in status update systems"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "waiting before serving a companion to packet management in status update systems"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "adaptive coding for information freshness in a two user broadcast erasure channel"
    - "using erasure feedback for online timely updating with an energy harvesting sensor"
    - "on peak age of information in data preprocessing enabled iot networks"
    - "relative age of information a new metric for status update systems"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"

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)