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: "the cell probe complexity of dynamic range counting"
  Abstract: In this paper we develop a new technique for proving lower bounds on the update time and query time of dynamic data structures in the cell probe model. With this technique, we prove the highest lower bound to date for any explicit problem, namely a lower bound of $t_q=\Omega((\lg n/\lg(wt_u))^2)$. Here $n$ is the number of update operations, $w$ the cell size, $t_q$ the query time and $t_u$ the update time. In the most natural setting of cell size $w=\Theta(\lg n)$, this gives a lower bound of $t_q=\Omega((\lg n/\lg \lg n)^2)$ for any polylogarithmic update time. This bound is almost a quadratic improvement over the highest previous lower bound of $\Omega(\lg n)$, due to P\v{a}tra\c{s}cu and Demaine [SICOMP'06]. #R##N#We prove the lower bound for the fundamental problem of weighted orthogonal range counting. In this problem, we are to support insertions of two-dimensional points, each assigned a $\Theta(\lg n)$-bit integer weight. A query to this problem is specified by a point $q=(x,y)$, and the goal is to report the sum of the weights assigned to the points dominated by $q$, where a point $(x',y')$ is dominated by $q$ if $x' \leq x$ and $y' \leq y$. In addition to being the highest cell probe lower bound to date, the lower bound is also tight for data structures with update time $t_u = \Omega(\lg^{2+\eps}n)$, where $\eps>0$ is an arbitrarily small constant.

Connected through hyperedge HE-1 (induced by source paper "tight static lower bounds for non adaptive data structures"):
  with members:
    - "static data structure lower bounds imply rigidity"
    - "crossing the logarithmic barrier for dynamic boolean data structure lower bounds"
    - "amortized dynamic cell probe lower bounds from four party communication"
    - "set membership with non adaptive bit probes"
    - "set membership with a few bit probes"
    - "lower bounds on near neighbor search via metric expansion"
    - "the power of simple tabulation hashing"
    - "linear probing with constant independence"

Connected through hyperedge HE-2 (induced by source paper "lower bounds for oblivious near neighbor search"):
  with members:
    - "sanns scaling up secure approximate k nearest neighbors search"
    - "hardness of approximate nearest neighbor search"
    - "scalable secure computation of statistical functions with applications to k nearest neighbors"
    - "lower bounds for oblivious data structures"
    - "distributed pcp theorems for hardness of approximation in p"
    - "crossing the logarithmic barrier for dynamic boolean data structure lower bounds"
    - "new unconditional hardness results for dynamic and online problems"
    - "secure k nearest neighbor query over encrypted data in outsourced environments"

Connected through hyperedge HE-3 (induced by source paper "equivalence of systematic linear data structures and matrix rigidity"):
  with members:
    - "static data structure lower bounds imply rigidity"
    - "matrix rigidity and the croot lev pach lemma"
    - "crossing the logarithmic barrier for dynamic boolean data structure lower bounds"
    - "probabilistic rank and matrix rigidity"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "new unconditional hardness results for dynamic and online problems"
    - "adapt or die polynomial lower bounds for non adaptive dynamic data structures"
    - "min rank conjecture for log depth circuits"

Connected through hyperedge HE-4 (induced by source paper "lower bounds for matrix factorization"):
  with members:
    - "non malleable extractors and non malleable codes partially optimal constructions"
    - "static data structure lower bounds imply rigidity"
    - "matrix rigidity and the croot lev pach lemma"
    - "crossing the logarithmic barrier for dynamic boolean data structure lower bounds"
    - "probabilistic rank and matrix rigidity"
    - "hitting sets for roabp and sum of set multilinear circuits"
    - "improved bounds for reduction to depth 4 and depth 3"
    - "on identity testing of tensors low rank recovery and compressed sensing"

Connected through hyperedge HE-5 (induced by source paper "fully dynamic δ 1 coloring in constant update time"):
  with members:
    - "constant time dynamic delta 1 coloring and weight approximation for minimum spanning forest dynamic algorithms meet property testing"
    - "fully dynamic maximal independent set in expected poly log update time"
    - "fully dynamic maximal independent set with polylogarithmic update time"
    - "fully dynamic mis in uniformly sparse graphs"
    - "fully dynamic maximal independent set with sublinear update time"
    - "dynamic algorithms for graph coloring"
    - "crossing the logarithmic barrier for dynamic boolean data structure lower bounds"
    - "fully dynamic maximal matching in constant update time"

Connected through hyperedge HE-6 (induced by source paper "new amortized cell probe lower bounds for dynamic problems"):
  with members:
    - "amortized dynamic cell probe lower bounds from four party communication"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "cell probe lower bounds for dynamic problems via a new communication model"
    - "new unconditional hardness results for dynamic and online problems"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "don t rush into a union take time to find your roots"
    - "lower bounds on near neighbor search via metric expansion"
    - "logarithmic lower bounds in the cell probe model"

Connected through hyperedge HE-7 (induced by source paper "how to store a random walk"):
  with members:
    - "local decodability of the burrows wheeler transform"
    - "on locally decodable source coding"
    - "a simple online competitive adaptation of lempel ziv compression with efficient random access support"
    - "on compressing permutations and adaptive sorting"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"

Connected through hyperedge HE-8 (induced by source paper "upper and lower bounds for dynamic data structures on strings"):
  with members:
    - "crossing the logarithmic barrier for dynamic boolean data structure lower bounds"
    - "faster online matrix vector multiplication"
    - "a dichotomy for regular expression membership testing"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "optimal dynamic strings"
    - "which regular expression patterns are hard to match"
    - "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"

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)