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: "simplified algorithmic metatheorems beyond mso treewidth and neighborhood diversity"
  Abstract: This paper settles the computational complexity of model checking of several extensions of the monadic second order (MSO) logic on two classes of graphs: graphs of bounded treewidth and graphs of bounded neighborhood diversity. A classical theorem of Courcelle states that any graph property definable in MSO is decidable in linear time on graphs of bounded treewidth. Algorithmic metatheorems like Courcelle's serve to generalize known positive results on various graph classes. We explore and extend three previously studied MSO extensions: global and local cardinality constraints (CardMSO and MSO-LCC) and optimizing a fair objective function (fairMSO). First, we show how these fragments relate to each other in expressive power and highlight their (non)linearity. On the side of neighborhood diversity, we show that combining the linear variants of local and global cardinality constraints is possible while keeping the linear runtime but removing linearity of either makes this impossible, and we provide a polynomial time algorithm for the hard case. Furthemore, we show that even the combination of the two most powerful fragments is solvable in polynomial time on graphs of bounded treewidth.

Connected through hyperedge HE-1 (induced by source paper "on adaptive algorithms for maximum matching"):
  with members:
    - "a quasi linear time b matching algorithm on distance hereditary graphs and bounded split width graphs"
    - "efficient and adaptive parameterized algorithms on modular decompositions"
    - "parameterized aspects of triangle enumeration"
    - "robust and adaptive search"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "a linear time algorithm for maximum cardinality matching on cocomparability graphs"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "navigating central path with electrical flows from flows to matchings and back"

Connected through hyperedge HE-2 (induced by source paper "approximating max cut under graph mso constraints"):
  with members:
    - "approximation algorithms for connected maximum cut and related problems"
    - "clustering using max norm constrained optimization"
    - "submodular function maximization via the multilinear relaxation and contention resolution schemes"

Connected through hyperedge HE-3 (induced by source paper "combinatorial n fold integer programming and applications"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "on integer programming and convolution"
    - "scheduling meets n fold integer programming"
    - "the complexity landscape of decompositional parameters for ilp"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "voting and bribing in single exponential time"
    - "about the structure of the integer cone and its application to bin packing"
    - "parameterized integer quadratic programming variables and coefficients"

Connected through hyperedge HE-4 (induced by source paper "parameterized shifted combinatorial optimization"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "the parameterized complexity of the minimum shared edges problem"
    - "extension complexity mso logic and treewidth"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"
    - "parameterized algorithms for modular width"
    - "the matching polytope has exponential extension complexity"
    - "algorithmic meta theorems"

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)