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: "fast set intersection and two patterns matching"
  Abstract: In this paper we present a new problem, the fast set intersection problem, which is to preprocess a collection of sets in order to efficiently report the intersection of any two sets in the collection. In addition we suggest new solutions for the two-dimensional substring indexing problem and the document listing problem for two patterns by reduction to the fast set intersection problem.

Connected through hyperedge HE-1 (induced by source paper "fast join project query evaluation using matrix multiplication"):
  with members:
    - "memory efficient group by aggregates over multi way joins"
    - "trade offs in static and dynamic evaluation of hierarchical queries"
    - "size bounds and query plans for relational joins"
    - "extracting and analyzing hidden graphs from relational databases"
    - "compressed representations of conjunctive query results"
    - "improved rectangular matrix multiplication using powers of the coppersmith winograd tensor"
    - "set containment join revisited"
    - "data structure lower bounds for document indexing problems"

Connected through hyperedge HE-2 (induced by source paper "on the hardness of set disjointness and set intersection with bounded universe"):
  with members:
    - "how hard is it to find honest witnesses"
    - "conditional lower bounds for space time tradeoffs"
    - "data structure lower bounds for document indexing problems"
    - "dynamic set intersection"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "on hardness of jumbled indexing"
    - "higher lower bounds from the 3sum conjecture"
    - "approximate distance oracle with constant query time"

Connected through hyperedge HE-3 (induced by source paper "efficient data analytics on augmented similarity triplets"):
  with members:
    - "but how does it work in theory linear svm with random features"
    - "crowdsourced correlation clustering with relative distance comparisons"
    - "structured adaptive and random spinners for fast machine learning computations"
    - "t exponential triplet embedding"
    - "efficient online relative comparison kernel learning"
    - "cost effective hits for relative similarity comparisons"
    - "adaptively learning the crowd kernel"
    - "a tutorial on spectral clustering"

Connected through hyperedge HE-4 (induced by source paper "an adaptive step toward the multiphase conjecture"):
  with members:
    - "crossing the logarithmic barrier for dynamic boolean data structure lower bounds"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "new unconditional hardness results for dynamic and online problems"
    - "dynamic set intersection"
    - "adapt or die polynomial lower bounds for non adaptive dynamic data structures"
    - "information equals amortized communication"
    - "circuits with arbitrary gates for random operators"
    - "fast evaluation of union intersection expressions"

Connected through hyperedge HE-5 (induced by source paper "implementing the topological model succinctly"):
  with members:
    - "fast and compact planar embeddings"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"

Connected through hyperedge HE-6 (induced by source paper "conditional lower bounds for space time tradeoffs"):
  with members:
    - "how hard is it to find honest witnesses"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "clustered integer 3sum via additive combinatorics"
    - "subtree isomorphism revisited"
    - "if the current clique algorithms are optimal so is valiant s parser"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "dynamic set intersection"

Connected through hyperedge HE-7 (induced by source paper "compressed representations of conjunctive query results"):
  with members:
    - "size bounds and query plans for relational joins"
    - "conditional lower bounds for space time tradeoffs"
    - "answering conjunctive queries under updates"
    - "extracting and analyzing hidden graphs from relational databases"
    - "data structure lower bounds for document indexing problems"
    - "aggregation and ordering in factorised databases"
    - "structural tractability of counting of solutions to conjunctive queries"
    - "skew strikes back new developments in the theory of join algorithms"

Connected through hyperedge HE-8 (induced by source paper "orthogonal vectors indexing"):
  with members:
    - "conditional lower bounds for space time tradeoffs"
    - "subquadratic algorithms for succinct stable matching"
    - "faster online matrix vector multiplication"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "known algorithms for edge clique cover are probably optimal"

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.DS(Data Structures and Algorithms)