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: "faster computation of representative families for uniform matroids with applications"
  Abstract: Let $M = (E, {\cal I})$ be a matroid, and let ${\cal S}$ be a family of subsets of size $p$ of $E$. A subfamily $\widehat{\cal S} \subseteq {\cal S}$ represents ${\cal S}$ if for every pair of sets $X \in {\cal S}$ and $Y \subseteq E \setminus X$ such that $X \cup Y \in {\cal I}$, there is a set $\widehat{X} \in \widehat{\cal S}$ disjoint from $Y$ such that $\widehat{X} \cup Y \in {\cal I}$. In this paper, we present a fast computation of representative families for uniform matroids. We use our computation to develop {\em deterministic} algorithms that solve {\sc $k$-Partial Cover} and {\sc $k$-Internal Out-Branching} in times $O^*(2.619^k)$ and $O^*(6.855^k)$, respectively. We thus significantly improve the best known {\em randomized} algorithm for {\sc $k$-Partial Cover} and {\em deterministic} algorithm for {\sc $k$-Internal Out-Branching}, that run in times $O^*(5.437^k)$ and $O^*(16^{k+o(k)})$, respectively. Finally, we improve the running times of several algorithms that rely on efficient computation of representative families.

Connected through hyperedge HE-1 (induced by source paper "np completeness of the negative k cycle problem"):
  with members:
    - "representative sets of product families"

Connected through hyperedge HE-2 (induced by source paper "deterministic truncation of linear matroids"):
  with members:
    - "representative sets of product families"
    - "powers of tensors and fast matrix multiplication"
    - "finding even subgraphs even faster"
    - "representative families a unified tradeoff based approach"
    - "long circuits and large euler subgraphs"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "on identity testing of tensors low rank recovery and compressed sensing"
    - "representative sets and irrelevant vertices new tools for kernelization"

Connected through hyperedge HE-3 (induced by source paper "representative sets of product families"):
  with members:
    - "finding and counting vertex colored subtrees"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "solving weighted and counting variants of connectivity problems parameterized by treewidth deterministically in single exponential time"
    - "constrained multilinear detection for faster functional motif discovery"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "narrow sieves for parameterized paths and packings"

Connected through hyperedge HE-4 (induced by source paper "parameterized algorithms for graph partitioning problems"):
  with members:
    - "representative sets of product families"
    - "representative families a unified tradeoff based approach"
    - "multi parameter complexity analysis for constrained size graph problems using greediness for parameterization"
    - "deterministic parameterized algorithms for matching and packing problems"
    - "minimum bisection is fixed parameter tractable"
    - "designing fpt algorithms for cut problems using randomized contractions"

Connected through hyperedge HE-5 (induced by source paper "an exact characterization of tractable demand patterns for maximum disjoint path problems"):
  with members:
    - "representative sets of product families"
    - "everything you always wanted to know about the parameterized complexity of subgraph isomorphism but were afraid to ask"
    - "fixed parameter and approximation algorithms a new look"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

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)