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: "grounding fo and fo id with bounds"
  Abstract: Grounding is the task of reducing a first-order theory and finite domain to an equivalent propositional theory. It is used as preprocessing phase in many logic-based reasoning systems. Such systems provide a rich first-order input language to a user and can rely on efficient propositional solvers to perform the actual reasoning.#R##N##R##N#Besides a first-order theory and finite domain, the input for grounders contains in many applications also additional data. By exploiting this data, the size of the grounder's output can often be reduced significantly. A common practice to improve the efficiency of a grounder in this context is by manually adding semantically redundant information to the input theory, indicating where and when the grounder should exploit the data. In this paper we present a method to compute and add such redundant information automatically. Our method therefore simplifies the task of writing input theories that can be grounded efficiently by current systems.#R##N##R##N#We first present our method for classical first-order logic (FO) theories. Then we extend it to FO(ID), the extension of FO with inductive definitions, which allows for more concise and comprehensive input theories. We discuss implementation issues and experimentally validate the practical applicability of our method.

Connected through hyperedge HE-1 (induced by source paper "fms functional programming as a modelling language"):
  with members:
    - "asp core 2 input language format"

Connected through hyperedge HE-2 (induced by source paper "grounding recursive aggregates preliminary report"):
  with members:
    - "unfounded sets and well founded semantics of answer set programs with aggregates"
    - "logic programs with propositional connectives and aggregates"
    - "the dlv system for knowledge representation and reasoning"
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-3 (induced by source paper "predicate logic as a modeling language modeling and solving some machine learning and data mining problems with idp3"):
  with members:
    - "predicate logic as a modelling language the idp system"
    - "lazy model expansion interleaving grounding with search"
    - "a prototype of a knowledge based programming environment"
    - "xsb extending prolog with tabled logic programming"
    - "constraint propagation for first order logic and inductive definitions"
    - "the dlv system for knowledge representation and reasoning"
    - "efficient constraint propagation engines"
    - "well founded and stable semantics of logic programs with aggregates"

Connected through hyperedge HE-4 (induced by source paper "lazy model expansion interleaving grounding with search"):
  with members:
    - "predicate logic as a modelling language the idp system"
    - "the third open answer set programming competition"
    - "short and long supports for constraint propagation"
    - "asp modulo csp the clingcon system"
    - "compiling finite domain constraints to sat with bee"
    - "on the implementation of the probabilistic logic programming language problog"
    - "constraint propagation for first order logic and inductive definitions"
    - "the dlv system for knowledge representation and reasoning"

Connected through hyperedge HE-5 (induced by source paper "predicate logic as a modelling language the idp system"):
  with members:
    - "lazy model expansion interleaving grounding with search"
    - "the third open answer set programming competition"
    - "an enhanced features extractor for a portfolio of constraint solvers"
    - "asp modulo csp the clingcon system"
    - "an empirical evaluation of portfolios approaches for solving csps"
    - "translation based constraint answer set solving"
    - "the dlv system for knowledge representation and reasoning"
    - "extending classical logic with inductive definitions"

Connected through hyperedge HE-6 (induced by source paper "lifted unit propagation for effective grounding"):
  with members:
    - "the dlv system for knowledge representation and reasoning"

Connected through hyperedge HE-7 (induced by source paper "a prototype of a knowledge based programming environment"):
  with members:
    - "well founded and stable semantics of logic programs with aggregates"

Connected through hyperedge HE-8 (induced by source paper "constraint propagation for first order logic and inductive definitions"):
  with members:
    - "lifted unit propagation for effective grounding"
    - "fo fd extending classical logic with rule based fixpoint definitions"
    - "design and implementation of aggregate functions in the dlv system"
    - "the dlv system for knowledge representation and reasoning"
    - "well founded and stable semantics of logic programs with aggregates"
    - "propositional satisfiability in answer set programming"
    - "extending classical logic with inductive definitions"
    - "smodels a system for answer set programming"

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)