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: "a dichotomy on the complexity of consistent query answering for atoms with simple keys"
  Abstract: We study the problem of consistent query answering under primary key violations. In this setting, the relations in a database violate the key constraints and we are interested in maximal subsets of the database that satisfy the constraints, which we call repairs. For a boolean query Q, the problem CERTAINTY(Q) asks whether every such repair satisfies the query or not; the problem is known to be always in coNP for conjunctive queries. However, there are queries for which it can be solved in polynomial time. It has been conjectured that there exists a dichotomy on the complexity of CERTAINTY(Q) for conjunctive queries: it is either in PTIME or coNP-complete. In this paper, we prove that the conjecture is indeed true for the case of conjunctive queries without self-joins, where each atom has as a key either a single attribute (simple key) or all attributes of the atom.

Connected through hyperedge HE-1 (induced by source paper "new results for the complexity of resilience for binary conjunctive queries with self joins"):
  with members:
    - "consistent query answering for primary keys in logspace"
    - "conjunctive queries on probabilistic graphs combined complexity"
    - "the complexity of causality and responsibility for query answers and non answers"

Connected through hyperedge HE-2 (induced by source paper "dichotomies in ontology mediated querying with the guarded fragment"):
  with members:
    - "a dichotomy theorem for nonuniform csps"
    - "rewritability in monadic disjunctive datalog mmsnp and expressive description logics"
    - "extending consequence based reasoning to sriq"
    - "asking the metaquestions in constraint tractability"
    - "query rewriting and optimization for ontological databases"
    - "querying the guarded fragment"
    - "ontology based data access a study through disjunctive datalog csp and mmsnp"
    - "description logic tboxes model theoretic characterizations and rewritability"

Connected through hyperedge HE-3 (induced by source paper "consistent answers of conjunctive queries on graphs"):
  with members:
    - "a trichotomy in the data complexity of certain query answering for conjunctive queries"
    - "charting the tractability frontier of certain conjunctive query answering"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-4 (induced by source paper "a trichotomy in the data complexity of certain query answering for conjunctive queries"):
  with members:
    - "charting the tractability frontier of certain conjunctive query answering"

Connected through hyperedge HE-5 (induced by source paper "charting the tractability frontier of certain conjunctive query answering"):
  with members:
    - "hypertree decompositions and tractable queries"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-6 (induced by source paper "tractable vs intractable cases of matching dependencies for query answering under entity resolution"):
  with members:
    - "charting the tractability frontier of certain conjunctive query answering"
    - "data cleaning and query answering with matching dependencies and matching functions"

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.DB(Databases)