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: "first order query evaluation with cardinality conditions"
  Abstract: We study an extension of first-order logic that allows to express cardinality conditions in a similar way as SQL's COUNT operator. The corresponding logic FOC(P) was introduced by Kuske and Schweikardt (LICS'17), who showed that query evaluation for this logic is fixed-parameter tractable on classes of structures (or databases) of bounded degree. In the present paper, we first show that the fixed-parameter tractability of FOC(P) cannot even be generalised to very simple classes of structures of unbounded degree such as unranked trees or strings with a linear order relation. #R##N#Then we identify a fragment FOC1(P) of FOC(P) which is still sufficiently strong to express standard applications of SQL's COUNT operator. Our main result shows that query evaluation for FOC1(P) is fixed-parameter tractable with almost linear running time on nowhere dense classes of structures. As a corollary, we also obtain a fixed-parameter tractable algorithm for counting the number of tuples satisfying a query over nowhere dense classes of structures.

Connected through hyperedge HE-1 (induced by source paper "two dichotomies for model checking in multi layer structures"):
  with members:
    - "multi budgeted directed cuts"
    - "deleting edges to restrict the size of an epidemic a new application for treewidth"
    - "the parameterised complexity of counting connected subgraphs and graph motifs"

Connected through hyperedge HE-2 (induced by source paper "learning concepts definable in first order logic with counting"):
  with members:
    - "a faster isomorphism test for graphs of small degree"
    - "learning first order definable concepts over structures of small degree"
    - "first order logic with counting at least weak hanf normal forms always exist and can be computed"

Connected through hyperedge HE-3 (induced by source paper "algorithmic meta theorems for monotone submodular maximization"):
  with members:
    - "submodular maximization through the lens of linear programming"
    - "first order query evaluation on structures of bounded degree"
    - "a knowledge compilation map"

Connected through hyperedge HE-4 (induced by source paper "the fine structure of preferential attachment graphs i somewhere denseness"):
  with members:
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"
    - "deciding first order properties of nowhere dense graphs"

Connected through hyperedge HE-5 (induced by source paper "answering fo mod queries under updates on bounded degree databases"):
  with members:
    - "answering conjunctive queries under updates"
    - "first order logic with counting at least weak hanf normal forms always exist and can be computed"
    - "answering ucqs under updates and in the presence of integrity constraints"
    - "deciding first order properties of nowhere dense graphs"
    - "first order query evaluation on structures of bounded degree"
    - "first order queries on structures of bounded degree are computable with constant delay"

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)