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: "extensions of simple conceptual graphs the complexity of rules and constraints"
  Abstract: Simple conceptual graphs are considered as the kernel of most knowledge representation formalisms built upon Sowa's model. Reasoning in this model can be expressed by a graph homomorphism called projection, whose semantics is usually given in terms of positive, conjunctive, existential FOL. We present here a family of extensions of this model, based on rules and constraints, keeping graph homomorphism as the basic operation. We focus on the formal definitions of the different models obtained, including their operational semantics and relationships with FOL, and we analyze the decidability and complexity of the associated problems (consistency and deduction). As soon as rules are involved in reasonings, these problems are not decidable, but we exhibit a condition under which they fall in the polynomial hierarchy. These results extend and complete the ones already published by the authors. Moreover we systematically study the complexity of some particular cases obtained by restricting the form of constraints and/or rules.

Connected through hyperedge HE-1 (induced by source paper "functorial question answering"):
  with members:
    - "relating structure and power comonadic semantics for computational resources"
    - "graphical conjunctive queries"
    - "estimating the cardinality of conjunctive queries over rdf data using graph summarisation"
    - "towards compositional distributional discourse analysis"
    - "a dichotomy theorem for nonuniform csps"
    - "knowledge representation in bicategories of relations"
    - "quantum algorithms for compositional natural language processing"
    - "the frobenius anatomy of word meanings i subject and object relative pronouns"

Connected through hyperedge HE-2 (induced by source paper "ai reasoning systems pac and applied methods"):
  with members:
    - "learning explanatory rules from noisy data"
    - "differentiable learning of logical rules for knowledge base reasoning"
    - "learning like humans with deep symbolic networks"
    - "dynamic routing between capsules"

Connected through hyperedge HE-3 (induced by source paper "worst case optimal query answering for greedy sets of existential rules and their subclasses"):
  with members:
    - "query rewriting and optimization for ontological databases"
    - "type elimination based reasoning for the description logic shiqbs using decision diagrams and disjunctive datalog"
    - "nominals inverses counting and conjunctive queries or why infinity is your friend"

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.AI(Artificial Intelligence)