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 evaluation of union intersection expressions"
  Abstract: We show how to represent sets in a linear space data structure such that expressions involving unions and intersections of sets can be computed in a worst-case efficient way. This problem has applications in e.g. information retrieval and database systems. We mainly consider the RAM model of computation, and sets of machine words, but also state our results in the I/O model. On a RAM with word size $w$, a special case of our result is that the intersection of $m$ (preprocessed) sets, containing $n$ elements in total, can be computed in expected time $O(n (\log w)^2 / w + km)$, where $k$ is the number of elements in the intersection. If the first of the two terms dominates, this is a factor $w^{1-o(1)}$ faster than the standard solution of merging sorted lists. We show a cell probe lower bound of time $\Omega(n/(w m \log m)+ (1-\tfrac{\log k}{w}) k)$, meaning that our upper bound is nearly optimal for small $m$. Our algorithm uses a novel combination of approximate set representations and word-level parallelism.

Connected through hyperedge HE-1 (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"
    - "fast set intersection and two patterns matching"

Connected through hyperedge HE-2 (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 set intersection and two patterns matching"

Connected through hyperedge HE-3 (induced by source paper "jaccard filtration and stable paths in the mapper"):
  with members:
    - "understanding and predicting links in graphs a persistent homology perspective"
    - "statistical analysis and parameter selection for mapper"
    - "a quest to unravel the metric structure behind perturbed networks"
    - "interesting paths in the mapper"
    - "fashion mnist a novel image dataset for benchmarking machine learning algorithms"
    - "mutiscale mapper a framework for topological summarization of data and maps"

Connected through hyperedge HE-4 (induced by source paper "answering spatial multiple set intersection queries using 2 3 cuckoo hash filters"):
  with members:
    - "cuckoo filter simplification and analysis"
    - "the input output complexity of triangle enumeration"
    - "dynamic set intersection"
    - "thresholds for extreme orientability"
    - "fast set intersection in memory"
    - "a new data layout for set intersection on gpus"
    - "privacy preserving access of outsourced data via oblivious ram simulation"

Connected through hyperedge HE-5 (induced by source paper "data structure lower bounds for document indexing problems"):
  with members:
    - "clustered integer 3sum via additive combinatorics"
    - "space efficient string indexing for wildcard pattern matching"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "dictionary matching with one gap"
    - "higher lower bounds from the 3sum conjecture"
    - "word packing algorithms for dynamic connectivity and dynamic sets"
    - "orthogonal range searching on the ram revisited"
    - "string indexing for patterns with wildcards"

Connected through hyperedge HE-6 (induced by source paper "dynamic set intersection"):
  with members:
    - "threesomes degenerates and love triangles"
    - "3sum hardness in dynamic data structures"
    - "four soviets walk the dog with an application to alt s conjecture"
    - "faster deterministic fully dynamic graph connectivity"
    - "don t rush into a union take time to find your roots"
    - "the power of simple tabulation hashing"
    - "fast set intersection and two patterns matching"
    - "logarithmic lower bounds in the cell probe model"

Connected through hyperedge HE-7 (induced by source paper "fast set intersection in memory"):
  with members:
    - "optimal aggregation algorithms for middleware"

Connected through hyperedge HE-8 (induced by source paper "a new data layout for set intersection on gpus"):
  with members:
    - "gpu sample sort"

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)