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: "dmvp foremost waypoint coverage of time varying graphs"
  Abstract: We consider the Dynamic Map Visitation Problem (DMVP), in which a team of agents must visit a collection of critical locations as quickly as possible, in an environment that may change rapidly and unpredictably during the agents' navigation. We apply recent formulations of time-varying graphs (TVGs) to DMVP, shedding new light on the computational hierarchy $\mathcal{R} \supset \mathcal{B} \supset \mathcal{P}$ of TVG classes by analyzing them in the context of graph navigation. We provide hardness results for all three classes, and for several restricted topologies, we show a separation between the classes by showing severe inapproximability in $\mathcal{R}$, limited approximability in $\mathcal{B}$, and tractability in $\mathcal{P}$. We also give topologies in which DMVP in $\mathcal{R}$ is fixed parameter tractable, which may serve as a first step toward fully characterizing the features that make DMVP difficult.

Connected through hyperedge HE-1 (induced by source paper "how fast can we reach a target vertex in stochastic temporal graphs"):
  with members:
    - "temporal vertex cover with a sliding time window"
    - "deleting edges to restrict the size of an epidemic in temporal networks"
    - "sliding window temporal graph coloring"
    - "cover time in edge uniform stochastically evolving graphs"
    - "adapting the bron kerbosch algorithm for enumerating maximal cliques in temporal graphs"
    - "computing maximal cliques in link streams"
    - "temporal network optimization subject to connectivity constraints"
    - "on temporal graph exploration"

Connected through hyperedge HE-2 (induced by source paper "temporal vertex cover with a sliding time window"):
  with members:
    - "temporal matching"
    - "how fast can we reach a target vertex in stochastic temporal graphs"
    - "the temporal explorer who returns to the base"
    - "sliding window temporal graph coloring"
    - "on problems as hard as cnf sat"
    - "adapting the bron kerbosch algorithm for enumerating maximal cliques in temporal graphs"
    - "computing maximal cliques in link streams"
    - "temporal network optimization subject to connectivity constraints"

Connected through hyperedge HE-3 (induced by source paper "patrolling on dynamic ring networks"):
  with members:
    - "gathering in dynamic rings"
    - "polynomial counting in anonymous dynamic networks with applications to anonymous dynamic algebraic computations"
    - "self stabilizing robots in highly dynamic environments"
    - "an introduction to temporal graphs an algorithmic perspective"
    - "live exploration of dynamic rings"
    - "fence patrolling by mobile agents with distinct speeds"
    - "on temporal graph exploration"
    - "agreement in directed dynamic networks"

Connected through hyperedge HE-4 (induced by source paper "the temporal explorer who returns to the base"):
  with members:
    - "on exploring temporal graphs of small pathwidth"
    - "temporal vertex cover with a sliding time window"
    - "adapting the bron kerbosch algorithm for enumerating maximal cliques in temporal graphs"
    - "computing maximal cliques in link streams"
    - "temporal network optimization subject to connectivity constraints"
    - "on temporal graph exploration"
    - "time varying graphs and dynamic networks"
    - "exploration of periodically varying graphs"

Connected through hyperedge HE-5 (induced by source paper "deleting edges to restrict the size of an epidemic in temporal networks"):
  with members:
    - "temporal graph classes a view through temporal separators"
    - "deleting edges to restrict the size of an epidemic a new application for treewidth"
    - "computing maximal cliques in link streams"
    - "temporal network optimization subject to connectivity constraints"
    - "on temporal graph exploration"
    - "time varying graphs and dynamic networks"
    - "exploration of periodically varying graphs"

Connected through hyperedge HE-6 (induced by source paper "an introduction to temporal graphs an algorithmic perspective"):
  with members:
    - "terminating distributed construction of shapes and patterns in a fair solution of automata"
    - "temporal network optimization subject to connectivity constraints"
    - "on temporal graph exploration"
    - "simple and efficient local codes for distributed stable network construction"
    - "distance oracles for time dependent networks"
    - "naming and counting in anonymous unknown dynamic networks"
    - "lower bounds on information dissemination in dynamic networks"
    - "on the treewidth of dynamic graphs"

Connected through hyperedge HE-7 (induced by source paper "efficiently testing t interval connectivity in dynamic graphs"):
  with members:
    - "self stabilizing robots in highly dynamic environments"
    - "the next 700 impossibility results in time varying graphs"
    - "testing temporal connectivity in sparse dynamic graphs"
    - "temporal reachability graphs"
    - "shortest fastest and foremost broadcast in dynamic networks"
    - "characterizing topological assumptions of distributed algorithms in dynamic networks"
    - "time varying graphs and dynamic 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.CC(Computational Complexity)