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: "minimal change integrity maintenance using tuple deletions"
  Abstract: We address the problem of minimal-change integrity maintenance in the context of integrity constraints in relational databases. We assume that integrity-restoration actions are limited to tuple deletions. We identify two basic computational issues: repair checking (is a database instance a repair of a given database?) and consistent query answers (is a tuple an answer to a given query in every repair of a given database?). We study the computational complexity of both problems, delineating the boundary between the tractable and the intractable. We consider denial constraints, general functional and inclusion dependencies, as well as key and foreign key constraints. Our results shed light on the computational feasibility of minimal-change integrity maintenance. The tractable cases should lead to practical implementations. The intractability results highlight the inherent limitations of any integrity enforcement mechanism, e.g., triggers or referential constraint actions, as a way of performing minimal-change integrity maintenance.

Connected through hyperedge HE-1 (induced by source paper "complexity and efficient algorithms for data inconsistency evaluating and repairing"):
  with members:
    - "a formal framework for probabilistic unclean databases"
    - "computing optimal repairs for functional dependencies"
    - "on the relative trust between inconsistent data and inaccurate constraints"
    - "a near optimal sublinear time algorithm for approximating the minimum vertex cover size"

Connected through hyperedge HE-2 (induced by source paper "holodetect few shot learning for error detection"):
  with members:
    - "autoaugment learning augmentation policies from data"
    - "a formal framework for probabilistic unclean databases"
    - "on calibration of modern neural networks"
    - "snorkel rapid training data creation with weak supervision"
    - "holoclean holistic data repairs with probabilistic inference"
    - "the effectiveness of data augmentation in image classification using deep learning"
    - "wide deep learning for recommender systems"
    - "understanding deep learning requires rethinking generalization"

Connected through hyperedge HE-3 (induced by source paper "complexity thresholds in inclusion logic"):
  with members:
    - "consistent query answering for primary keys in logspace"
    - "tractability frontier of data complexity in team semantics"
    - "complexity of propositional logics in team semantics"
    - "approximation and dependence via multiteam semantics"
    - "complexity of validity for propositional dependence logics"
    - "a fragment of dependence logic capturing polynomial time"
    - "inclusion logic and fixed point logic"
    - "complexity of two variable dependence logic and if logic"

Connected through hyperedge HE-4 (induced by source paper "fpt algorithms for diverse collections of hitting sets"):
  with members:
    - "diversity in combinatorial optimization"
    - "preparing for the unexpected diversity improves planning resilience in evolutionary algorithms"
    - "discrepancy based evolutionary diversity optimization"
    - "maximum volume subset selection for anchored boxes"
    - "faster deterministic feedback vertex set"
    - "cutset sampling with likelihood weighting"
    - "approximation algorithms for secondary spectrum auctions"

Connected through hyperedge HE-5 (induced by source paper "toward a view based data cleaning architecture"):
  with members:
    - "holodetect few shot learning for error detection"
    - "a formal framework for probabilistic unclean databases"

Connected through hyperedge HE-6 (induced by source paper "repair based degrees of database inconsistency computation and complexity"):
  with members:
    - "computing optimal repairs for functional dependencies"
    - "consistency and trust in peer data exchange systems"
    - "juggling functions inside a database"
    - "achieving data privacy through secrecy views and null based virtual updates"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "prioritized repairing and consistent query answering in relational databases"
    - "the dlv system for knowledge representation and reasoning"
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"

Connected through hyperedge HE-7 (induced by source paper "a formal framework for probabilistic unclean databases"):
  with members:
    - "the complexity of computing a cardinality repair for functional dependencies"
    - "holoclean holistic data repairs with probabilistic inference"
    - "computing optimal repairs for functional dependencies"
    - "implicit regularization in nonconvex statistical estimation gradient descent converges linearly for phase retrieval matrix completion and blind deconvolution"
    - "complexity of consistent query answering in databases under cardinality based and incremental repair semantics"

Connected through hyperedge HE-8 (induced by source paper "technical report adjudication of coreference annotations via answer set optimization"):
  with members:
    - "asp core 2 input language format"
    - "marmara turkish coreference corpus and coreference resolution baseline"
    - "modeling variations of first order horn abduction in answer set programming"
    - "tight logic 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)