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: "faster algorithms for markov decision processes with low treewidth"
  Abstract: We consider two core algorithmic problems for probabilistic verification: the maximal end-component decomposition and the almost-sure reachability set computation for Markov decision processes (MDPs). For MDPs with treewidth $k$, we present two improved static algorithms for both the problems that run in time $O(n \cdot k^{2.38} \cdot 2^k)$ and $O(m \cdot \log n \cdot k)$, respectively, where $n$ is the number of states and $m$ is the number of edges, significantly improving the previous known $O(n\cdot k \cdot \sqrt{n\cdot k})$ bound for low treewidth. We also present decremental algorithms for both problems for MDPs with constant treewidth that run in amortized logarithmic time, which is a huge improvement over the previously known algorithms that require amortized linear time.

Connected through hyperedge HE-1 (induced by source paper "value iteration for long run average reward in markov decision processes"):
  with members:
    - "multigain a controller synthesis tool for mdps with multiple mean payoff objectives"
    - "unifying two views on multiple mean payoff objectives in markov decision processes"
    - "knowledge spaces and the completeness of learning strategies"
    - "the complexity of ergodic mean payoff games"
    - "verification of markov decision processes using learning algorithms"
    - "markov decision processes with multiple long run averageobjectives"
    - "trading performance for stability in markov decision processes"
    - "assume guarantee abstraction refinement for probabilistic systems"

Connected through hyperedge HE-2 (induced by source paper "fully polynomial time parameterized computations for graphs and matrices of low treewidth"):
  with members:
    - "computing tree decompositions with flowcutter pace 2017 submission"
    - "computing treewidth on the gpu"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "positive instance driven dynamic programming for treewidth"
    - "computing maximum flow with augmenting electrical flows"
    - "approximation and fixed parameter subquadratic algorithms for radius and diameter"
    - "polynomial fixed parameter algorithms a case study for longest path on interval graphs"
    - "graph bisection with pareto optimization"

Connected through hyperedge HE-3 (induced by source paper "unifying two views on multiple mean payoff objectives in markov decision processes"):
  with members:
    - "multidimensional beyond worst case and almost sure problems for mean payoff objectives"
    - "percentile queries in multi dimensional markov decision processes"
    - "markov decision processes with multiple long run averageobjectives"
    - "trading performance for stability in markov decision processes"
    - "meet your expectations with guarantees beyond worst case synthesis in quantitative games"
    - "pareto curves for probabilistic model checking"
    - "one counter stochastic games"
    - "multi objective model checking of markov decision processes"

Connected through hyperedge HE-4 (induced by source paper "faster algorithms for quantitative verification in constant treewidth graphs"):
  with members:
    - "nested weighted automata"
    - "mean payoff pushdown games"
    - "the complexity of mean payoff automaton expression"
    - "measuring and synthesizing systems in probabilistic environments"
    - "expressiveness and closure properties for quantitative languages"
    - "mean payoff automaton expressions"
    - "better quality in synthesis through quantitative objectives"

Connected through hyperedge HE-5 (induced by source paper "algorithms for algebraic path properties in concurrent systems of constant treewidth components"):
  with members:
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "faster algorithms for quantitative verification in constant treewidth graphs"
    - "from non preemptive to preemptive scheduling using synchronization synthesis"
    - "popular conjectures imply strong lower bounds for dynamic problems"

Connected through hyperedge HE-6 (induced by source paper "average case analysis of the classical algorithm for markov decision processes with b uchi objectives"):
  with members:
    - "an o n 2 time algorithm for alternating b uchi games"

Connected through hyperedge HE-7 (induced by source paper "measuring and synthesizing systems in probabilistic environments"):
  with members:
    - "energy and mean payoff parity markov decision processes"
    - "expressiveness and closure properties for quantitative languages"
    - "better quality in synthesis through quantitative objectives"

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)