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: "dynamic parameterized problems and algorithms"
  Abstract: Fixed-parameter algorithms and kernelization are two powerful methods to solve $\mathsf{NP}$-hard problems. Yet, so far those algorithms have been largely restricted to static inputs. #R##N#In this paper we provide fixed-parameter algorithms and kernelizations for fundamental $\mathsf{NP}$-hard problems with dynamic inputs. We consider a variety of parameterized graph and hitting set problems which are known to have $f(k)n^{1+o(1)}$ time algorithms on inputs of size $n$, and we consider the question of whether there is a data structure that supports small updates (such as edge/vertex/set/element insertions and deletions) with an update time of $g(k)n^{o(1)}$; such an update time would be essentially optimal. Update and query times independent of $n$ are particularly desirable. Among many other results, we show that Feedback Vertex Set and $k$-Path admit dynamic algorithms with $f(k)\log^{O(1)}n$ update and query times for some function $f$ depending on the solution size $k$ only. #R##N#We complement our positive results by several conditional and unconditional lower bounds. For example, we show that unlike their undirected counterparts, Directed Feedback Vertex Set and Directed $k$-Path do not admit dynamic algorithms with $n^{o(1)}$ update and query times even for constant solution sizes $k\leq 3$, assuming popular hardness hypotheses. We also show that unconditionally, in the cell probe model, Directed Feedback Vertex Set cannot be solved with update time that is purely a function of $k$.

Connected through hyperedge HE-1 (induced by source paper "dynamic complexity meets parameterised algorithms"):
  with members:
    - "on the descriptive complexity of color coding"
    - "reoptimization of parameterized problems"
    - "a strategy for dynamic programs start over and muddle through"
    - "fast parallel fixed parameter algorithms via color coding"
    - "reachability is in dynfo"
    - "point line cover the easy kernel is essentially tight"

Connected through hyperedge HE-2 (induced by source paper "reoptimization of parameterized problems"):
  with members:
    - "deterministic parameterized connected vertex cover"
    - "on finding directed trees with many leaves"
    - "a linear vertex kernel for maximum internal spanning tree"

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)