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: "practical synthesis of reactive systems from ltl specifications via parity games"
  Abstract: The synthesis - the automatic construction - of reactive systems from linear temporal logic (LTL) specifications has recently seen a revival of the classic automata-theoretic approach based on parity-tree-automata, which outperformed other synthesis approaches in the last synthesis competition (Syntcomp2018). We describe a complete synthesis procedure that is based on the translation of LTL to deterministic parity automata and the emptiness check of the corresponding tree automata. #R##N#The described approach is (1) structured, meaning that the states used in the construction have a structure, which is also (partly) preserved in the synthesis result, performs a (2) forward exploration and thus often only constructs a small subset of the reachable states, and is (3) incremental in the sense that it reuses results from previous unsuccessful solution attempts. We further explore the impact of different guiding heuristics that determine where to expand the on-the-fly built arena and present several mechanisms for extracting an implementation (Mealy machine or circuit). Furthermore, several data structures used in the implementation can be encoded symbolically reducing time and memory consumption. We compare the proposed techniques on the Syntcomp2017 benchmark set.

Connected through hyperedge HE-1 (induced by source paper "a universal attractor decomposition algorithm for parity games"):
  with members:
    - "improving the complexity of parys recursive algorithm"
    - "alternating weak automata from universal trees"
    - "computing nested fixpoints in quasipolynomial time"
    - "parity games zielonka s algorithm in quasi polynomial time"
    - "fixpoint games on continuous lattices"
    - "quasipolynomial set based symbolic algorithms for parity games"
    - "oink an implementation and evaluation of modern parity game solvers"
    - "succinct progress measures for solving parity 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.LO(Logic in Computer Science)