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: "conditionally optimal algorithms for generalized buchi games"
  Abstract: Games on graphs provide the appropriate framework to study several central problems in computer science, such as verification and synthesis of reactive systems. One of the most basic objectives for games on graphs is the liveness (or Buchi) objective that given a target set of vertices requires that some vertex in the target set is visited infinitely often. We study generalized Buchi objectives (i.e., conjunction of liveness objectives), and implications between two generalized Buchi objectives (known as GR(1) objectives), that arise in numerous applications in computer-aided verification. We present improved algorithms and conditional super-linear lower bounds based on widely believed assumptions about the complexity of (A1) combinatorial Boolean matrix multiplication and (A2) CNF-SAT. We consider graph games with n vertices, m edges, and generalized Buchi objectives with k conjunctions. First, we present an algorithm with running time O(k*n^2), improving the previously known O(k*n*m) and O(k^2*n^2) worst-case bounds. Our algorithm is optimal for dense graphs under (A1). Second, we show that the basic algorithm for the problem is optimal for sparse graphs when the target sets have constant size under (A2). Finally, we consider GR(1) objectives, with k_1 conjunctions in the antecedent and k_2 conjunctions in the consequent, and present an O(k_1 k_2 n^{2.5})-time algorithm, improving the previously known O(k_1*k_2*n*m)-time algorithm for m > n^{1.5}.

Connected through hyperedge HE-1 (induced by source paper "partial solvers for generalized parity games"):
  with members:
    - "the 5th reactive synthesis competition syntcomp 2018 benchmarks participants results"
    - "oink an implementation and evaluation of modern parity game solvers"
    - "partial solvers for parity games effective polynomial time composition"
    - "fatal attractors in parity games building blocks for partial solvers"

Connected through hyperedge HE-2 (induced by source paper "computer aided synthesis a game theoretic approach"):
  with members:
    - "on the existence of weak subgame perfect equilibria"
    - "extending finite memory determinacy to multiplayer games"
    - "weak subgame perfect equilibria and their application to quantitative reachability"
    - "assume admissible synthesis"
    - "on the complexity of heterogeneous multidimensional quantitative games"
    - "non zero sum games for reactive synthesis"
    - "pure nash equilibria in concurrent deterministic games"
    - "secure equilibria in weighted games"

Connected through hyperedge HE-3 (induced by source paper "multi buffer simulations for trace language inclusion"):
  with members:
    - "buffered simulation games for buchi automata"
    - "three applications to rational relations of the high undecidability of the infinite post correspondence problem in a regular omega language"
    - "advanced automata minimization"
    - "degrees of lookahead in regular infinite games"

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)