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: "randomized computations on large data sets tight lower bounds"
  Abstract: We study the randomized version of a computation model (introduced by Grohe, Koch, and Schweikardt (ICALP'05); Grohe and Schweikardt (PODS'05)) that restricts random access to external memory and internal memory space. Essentially, this model can be viewed as a powerful version of a data stream model that puts no cost on sequential scans of external memory (as other models for data streams) and, in addition, (like other external memory models, but unlike streaming models), admits several large external memory devices that can be read and written to in parallel. #R##N#We obtain tight lower bounds for the decision problems set equality, multiset equality, and checksort. More precisely, we show that any randomized one-sided-error bounded Monte Carlo algorithm for these problems must perform Omega(log N) random accesses to external memory devices, provided that the internal memory size is at most O(N^(1/4)/log N), where N denotes the size of the input data. #R##N#From the lower bound on the set equality problem we can infer lower bounds on the worst case data complexity of query evaluation for the languages XQuery, XPath, and relational algebra on streaming data. More precisely, we show that there exist queries in XQuery, XPath, and relational algebra, such that any (randomized) Las Vegas algorithm that evaluates these queries must perform Omega(log N) random accesses to external memory devices, provided that the internal memory size is at most O(N^(1/4)/log N).

Connected through hyperedge HE-1 (induced by source paper "validating xml documents in the streaming model with external memory"):
  with members:
    - "the space complexity of recognizing well parenthesized expressions in the streaming model the index function revisited"
    - "recognizing well parenthesized expressions in the streaming model"
    - "tight lower bounds for query processing on streaming and external memory data"

Connected through hyperedge HE-2 (induced by source paper "lower bounds for multi pass processing of multiple data streams"):
  with members:
    - "tight lower bounds for query processing on streaming and external memory data"

Connected through hyperedge HE-3 (induced by source paper "an algebraic approach to complexity of data stream computations"):
  with members:
    - "tight lower bounds for query processing on streaming and external memory data"

Connected through hyperedge HE-4 (induced by source paper "reversal complexity revisited"):
  with members:
    - "tight lower bounds for query processing on streaming and external memory data"

Connected through hyperedge HE-5 (induced by source paper "tight lower bounds for query processing on streaming and external memory data"):
  with members:
    - "reversal complexity revisited"
    - "monadic datalog and the expressive power of languages for web information extraction"

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)