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: "algorithmic meta theorems"
  Abstract: Algorithmic meta-theorems are general algorithmic results applying to a whole range of problems, rather than just to a single problem alone. They often have a "logical" and a "structural" component, that is they are results of the form: every computational problem that can be formalised in a given logic L can be solved efficiently on every class C of structures satisfying certain conditions. This paper gives a survey of algorithmic meta-theorems obtained in recent years and the methods used to prove them. As many meta-theorems use results from graph minor theory, we give a brief introduction to the theory developed by Robertson and Seymour for their proof of the graph minor theorem and state the main algorithmic consequences of this theory as far as they are needed in the theory of algorithmic meta-theorems.

Connected through hyperedge HE-1 (induced by source paper "nowhere dense graph classes and algorithmic applications a tutorial at highlights of logic games and automata 2019"):
  with members:
    - "classes of graphs with low complexity the case of classes with bounded linear rankwidth"
    - "kernelization and approximation of distance r independent sets on nowhere dense graphs"
    - "empirical evaluation of approximation algorithms for generalized graph coloring and uniform quasi wideness"
    - "on low rank width colorings"
    - "distributed domination on graph classes of bounded expansion"
    - "on the number of types in sparse graphs"
    - "the generalised colouring numbers on classes of bounded expansion"
    - "polynomial kernels and wideness properties of nowhere dense graph classes"

Connected through hyperedge HE-2 (induced by source paper "query preserving watermarking schemes for locally treelike databases"):
  with members:
    - "on the number of types in sparse graphs"
    - "deciding first order properties of nowhere dense graphs"
    - "deciding first order properties of locally tree decomposable structures"
    - "fixed parameter tractability definability and model checking"

Connected through hyperedge HE-3 (induced by source paper "parameterized shifted combinatorial optimization"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "simplified algorithmic metatheorems beyond mso treewidth and neighborhood diversity"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "first order query evaluation with cardinality conditions"):
  with members:
    - "first order logic with counting at least weak hanf normal forms always exist and can be computed"
    - "structural tractability of counting of solutions to conjunctive queries"
    - "deciding first order properties of nowhere dense graphs"
    - "deciding first order properties of locally tree decomposable structures"

Connected through hyperedge HE-5 (induced by source paper "tractable lineages on treelike instances limits and extensions"):
  with members:
    - "provenance circuits for trees and treelike instances extended version"
    - "approximate lifted inference with probabilistic databases"
    - "polynomial bounds for the grid minor theorem"
    - "complexity of inference in graphical models"
    - "lower bounds for the complexity of monadic second order logic"
    - "are there any good digraph width measures"
    - "tractable hypergraph properties for constraint satisfaction and conjunctive queries"
    - "the dichotomy of conjunctive queries on probabilistic structures"

Connected through hyperedge HE-6 (induced by source paper "evangelism in social networks algorithms and complexity"):
  with members:
    - "target set selection in dense graph classes"
    - "on finding small sets that influence large networks"
    - "spread of influence in weighted networks under time and budget constraints"
    - "contagious sets in dense graphs"
    - "distance constrained labeling on graphs with bounded neighborhood diversity"
    - "parameterized approximability of maximizing the spread of influence in networks"
    - "latency bounded target set selection in social networks"
    - "using neighborhood diversity to solve hard problems"

Connected through hyperedge HE-7 (induced by source paper "extension complexity mso logic and treewidth"):
  with members:
    - "extended formulation for csp that is compact for instances of bounded treewidth"
    - "lower bounds on the size of semidefinite programming relaxations"
    - "approximation limits of linear programs beyond hierarchies"
    - "courcelle s theorem a game theoretic approach"
    - "monadic datalog over finite structures with bounded treewidth"

Connected through hyperedge HE-8 (induced by source paper "kernelizing mso properties of trees of fixed height and some consequences"):
  with members:
    - "model checking lower bounds for simple graphs"
    - "using neighborhood diversity to solve hard problems"
    - "courcelle s theorem a game theoretic approach"
    - "linear time algorithms for graphs of bounded rankwidth a fresh look using game theory"

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)