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: "from causes for database queries to repairs and model based diagnosis and back"
  Abstract: In this work we establish and investigate connections between causality for query answers in databases, database repairs wrt. denial constraints, and consistency-based diagnosis. The first two are relatively new problems in databases, and the third one is an established subject in knowledge representation. We show how to obtain database repairs from causes and the other way around. Causality problems are formulated as diagnosis problems, and the diagnoses provide causes and their responsibilities. The vast body of research on database repairs can be applied to the newer problem of determining actual causes for query answers and their responsibilities. These connections, which are interesting per se, allow us, after a transition -inspired by consistency-based diagnosis- to computational problems on hitting sets and vertex covers in hypergraphs, to obtain several new algorithmic and complexity results for causality in databases.

Connected through hyperedge HE-1 (induced by source paper "data management for causal algorithmic fairness"):
  with members:
    - "capuchin causal database repair for algorithmic fairness"
    - "causal reasoning for algorithmic fairness"
    - "bias in olap queries detection explanation and removal"
    - "fairness testing testing software for discrimination"
    - "snorkel rapid training data creation with weak supervision"
    - "computing optimal repairs for functional dependencies"
    - "algorithmic decision making and the cost of fairness"
    - "quantifying causal effects on query answering in databases"

Connected through hyperedge HE-2 (induced by source paper "efficiently checking actual causality with sat solving"):
  with members:
    - "theoretical impediments to machine learning with seven sparks from the causal revolution"
    - "towards formal definitions of blameworthiness intention and moral responsibility"
    - "understanding and formalizing accountability for cyber physical systems"
    - "a modification of the halpern pearl definition of causality"
    - "the computational complexity of structure based causality"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "what causes a system to satisfy a specification"
    - "responsibility and blame a structural model approach"

Connected through hyperedge HE-3 (induced by source paper "causes for query answers from databases datalog abduction view updates and integrity constraints"):
  with members:
    - "quantifying causal effects on query answering in databases"
    - "causes for query answers from databases datalog abduction and view updates the presence of integrity constraints"
    - "query answer causality in databases abductive diagnosis and view updates"
    - "achieving data privacy through secrecy views and null based virtual updates"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"
    - "coherent integration of databases by abductive logic programming"
    - "responsibility and blame a structural model approach"

Connected through hyperedge HE-4 (induced by source paper "quantifying causal effects on query answering in databases"):
  with members:
    - "causes for query answers from databases datalog abduction and view updates the presence of integrity constraints"
    - "query answer causality in databases abductive diagnosis and view updates"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "causality and the semantics of provenance"
    - "responsibility and blame a structural model approach"

Connected through hyperedge HE-5 (induced by source paper "zaliql a sql based framework for drawing causal inference from big data"):
  with members:
    - "causes for query answers from databases datalog abduction and view updates the presence of integrity constraints"
    - "query answer causality in databases abductive diagnosis and view updates"
    - "the complexity of causality and responsibility for query answers and non answers"

Connected through hyperedge HE-6 (induced by source paper "causes for query answers from databases datalog abduction and view updates the presence of integrity constraints"):
  with members:
    - "query answer causality in databases abductive diagnosis and view updates"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "coherent integration of databases by abductive logic programming"

Connected through hyperedge HE-7 (induced by source paper "query answer causality in databases abductive diagnosis and view updates"):
  with members:
    - "a modification of the halpern pearl definition of causality"
    - "unifying causality diagnosis repairs and view updates in databases"
    - "causality in databases the diagnosis and repair connections"
    - "achieving data privacy through secrecy views and null based virtual updates"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "coherent integration of databases by abductive logic programming"
    - "responsibility and blame a structural model approach"

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)