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: "hyper temporal networks"
  Abstract: Simple Temporal Networks (STNs) provide a powerful and general tool for representing conjunctions of maximum delay constraints over ordered pairs of temporal variables. In this paper we introduce Hyper Temporal Networks (HyTNs), a strict generalization of STNs, to overcome the limitation of considering only conjunctions of constraints but maintaining a practical efficiency in the consistency check of the instances. In a Hyper Temporal Network a single temporal hyperarc constraint may be defined as a set of two or more maximum delay constraints which is satisfied when at least one of these delay constraints is satisfied. HyTNs are meant as a light generalization of STNs offering an interesting compromise. On one side, there exist practical pseudo-polynomial time algorithms for checking consistency and computing feasible schedules for HyTNs. On the other side, HyTNs offer a more powerful model accommodating natural constraints that cannot be expressed by STNs like Trigger off exactly delta min before (after) the occurrence of the first (last) event in a set., which are used to represent synchronization events in some process aware information systems/workflow models proposed in the literature.

Connected through hyperedge HE-1 (induced by source paper "checking dynamic consistency of conditional hyper temporal networks via mean payoff games hardness and pseudo singly exponential time algorithm"):
  with members:
    - "polynomial time algorithms for energy games with special weight structures"
    - "the tropical shadow vertex algorithm solves mean payoff games in polynomial time on average"
    - "the dynamic controllability of conditional stns with uncertainty"
    - "using strategy improvement to stay alive"

Connected through hyperedge HE-2 (induced by source paper "instantaneous reaction time in dynamic consistency checking of conditional simple temporal networks"):
  with members:
    - "dynamic consistency of conditional simple temporal networks via mean payoff games a singly exponential time dc checking"
    - "the dynamic controllability of conditional stns with uncertainty"

Connected through hyperedge HE-3 (induced by source paper "dynamic consistency of conditional simple temporal networks via mean payoff games a singly exponential time dc checking"):
  with members:
    - "polynomial time algorithms for energy games with special weight structures"
    - "the tropical shadow vertex algorithm solves mean payoff games in polynomial time on average"
    - "the dynamic controllability of conditional stns with uncertainty"
    - "using strategy improvement to stay alive"

Connected through hyperedge HE-4 (induced by source paper "checking dynamic consistency of conditional simple temporal networks via mean payoff games a singly exponential time algorithm"):
  with members:
    - "polynomial time algorithms for energy games with special weight structures"
    - "the dynamic controllability of conditional stns with uncertainty"
    - "using strategy improvement to stay alive"

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.DS(Data Structures and Algorithms)