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: "the dichotomy of conjunctive queries on probabilistic structures"
  Abstract: We show that for every conjunctive query, the complexity of evaluating it on a probabilistic database is either \PTIME or #\P-complete, and we give an algorithm for deciding whether a given conjunctive query is \PTIME or #\P-complete. The dichotomy property is a fundamental result on query evaluation on probabilistic databases and it gives a complete classification of the complexity of conjunctive queries.

Connected through hyperedge HE-1 (induced by source paper "uncertainty annotated databases a lightweight approach for approximating certain answers extended version"):
  with members:
    - "mimir bringing ctables into practice"
    - "dissociation and propagation for approximate lifted inference with standard relational database management systems"
    - "a unified approach to ranking in probabilistic databases"
    - "fast and simple relational processing of uncertain data"

Connected through hyperedge HE-2 (induced by source paper "on constrained open world probabilistic databases"):
  with members:
    - "inference and learning in probabilistic logic programs using weighted boolean formulas"
    - "understanding the complexity of lifted inference and asymmetric weighted model counting"
    - "probabilistic description logics"

Connected through hyperedge HE-3 (induced by source paper "answering conjunctive queries under updates"):
  with members:
    - "answering fo mod queries under updates on bounded degree databases"
    - "size bounds and query plans for relational joins"
    - "dynamic conjunctive queries"
    - "faster online matrix vector multiplication"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "joins via geometric resolutions worst case and beyond"
    - "a trichotomy in the complexity of counting answers to conjunctive queries"
    - "structural tractability of counting of solutions to conjunctive queries"

Connected through hyperedge HE-4 (induced by source paper "circuit treewidth sentential decision and query compilation"):
  with members:
    - "tractable lineages on treelike instances limits and extensions"
    - "parameterized compilation lower bounds for restricted cnf formulas"
    - "sdds are exponentially more succinct than obdds"
    - "new limits for knowledge compilation and applications to exact model counting"
    - "on the read once property of branching programs and cnfs of bounded treewidth"
    - "on obdds for cnfs of bounded treewidth"
    - "cliquewidth and knowledge compilation"
    - "a knowledge compilation map"

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"
    - "algorithmic meta theorems"
    - "tractable hypergraph properties for constraint satisfaction and conjunctive queries"

Connected through hyperedge HE-6 (induced by source paper "learning tuple probabilities"):
  with members:
    - "probabilistic databases with markoviews"
    - "sum product networks a new deep architecture"
    - "conditioning probabilistic databases"
    - "fast and simple relational processing of uncertain data"

Connected through hyperedge HE-7 (induced by source paper "consistency checking and querying in probabilistic databases under integrity constraints"):
  with members:
    - "probabilistic description logics"
    - "consensus answers for queries over probabilistic databases"
    - "conditioning probabilistic databases"
    - "probabilistic deduction with conditional constraints over basic events"

Connected through hyperedge HE-8 (induced by source paper "faster query answering in probabilistic databases using read once functions"):
  with members:
    - "provenance for aggregate queries"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "fast and simple relational processing of uncertain data"

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)