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: "model counting for conjunctive queries without self joins"
  Abstract: We study the problem of model counting for Boolean Conjunctive Queries (CQs): given a database, how many of its subsets satisfy the CQ? This problem is computationally equivalent to the evaluation of a CQ over a tuple-independent probabilistic database (i.e., determining the probability of satisfying the CQ) when the probability of every tuple is 1/2. In particular, it follows from the work of Dalvi and Suciu that this problem is solvable in polynomial time (data complexity) for every hierarchical CQ without self-joins. However, while probabilistic query evaluation is intractable for non-hierarchical CQs, it has been open whether this hardness applies already for model counting. We prove that, indeed, model counting is #P-complete for every non-hierarchical CQ without self-joins. Hence, we establish that the dichotomy in the complexity probabilistic query evaluation also holds for model counting.

Connected through hyperedge HE-1 (induced by source paper "the impact of negation on the complexity of the shapley value in conjunctive queries"):
  with members:
    - "the shapley value of tuples in query answering"
    - "a unified approach to interpreting model predictions"
    - "quantifying causal effects on query answering in databases"
    - "causes for query answers from databases datalog abduction view updates and integrity constraints"
    - "the complexity of causality and responsibility for query answers and non answers"

Connected through hyperedge HE-2 (induced by source paper "a dichotomy for homomorphism closed queries on probabilistic graphs"):
  with members:
    - "boundedness of conjunctive regular path queries"
    - "tractable lineages on treelike instances limits and extensions"
    - "ontology based data access a study through disjunctive datalog csp and mmsnp"
    - "rewriting ontological queries into small nonrecursive datalog programs"

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)