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: "conjunctive queries on probabilistic graphs combined complexity"
  Abstract: Query evaluation over probabilistic databases is known to be intractable in many cases, even in data complexity, i.e., when the query is fixed. Although some restrictions of the queries [19] and instances [4] have been proposed to lower the complexity, these known tractable cases usually do not apply to combined complexity, i.e., when the query is not fixed. This leaves open the question of which query and instance languages ensure the tractability of probabilistic query evaluation in combined complexity. #R##N#This paper proposes the first general study of the combined complexity of conjunctive query evaluation on probabilistic instances over binary signatures, which we can alternatively phrase as a probabilistic version of the graph homomorphism problem, or of a constraint satisfaction problem (CSP) variant. We study the complexity of this problem depending on whether instances and queries can use features such as edge labels, disconnectedness, branching, and edges in both directions. We show that the complexity landscape is surprisingly rich, using a variety of technical tools: automata-based compilation to d-DNNF lineages as in [4], \b{eta}-acyclic lineages using [10], the X-property for tractable CSP from [24], graded DAGs [27] and various coding techniques for hardness proofs.

Connected through hyperedge HE-1 (induced by source paper "the uniform measure of simple regular sets of infinite trees"):
  with members:
    - "on the problem of computing the probability of regular sets of trees"
    - "probabilistic modal mu calculus with independent product"
    - "model checking stochastic branching processes"

Connected through hyperedge HE-2 (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"
    - "a dichotomy on the complexity of consistent query answering for atoms with simple keys"
    - "the complexity of causality and responsibility for query answers and non answers"

Connected through hyperedge HE-3 (induced by source paper "on computing the measures of first order definable sets of trees"):
  with members:
    - "on the problem of computing the probability of regular sets of trees"
    - "probabilistic modal mu calculus with independent product"
    - "model checking stochastic branching processes"

Connected through hyperedge HE-4 (induced by source paper "evaluating datalog via tree automata and cycluits"):
  with members:
    - "constraint solving via fractional edge covers"
    - "combined tractability of query evaluation via tree automata and cycluits extended version"
    - "hypertree decompositions and tractable queries"

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)