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: "clustering with local restrictions"
  Abstract: We study a family of graph clustering problems where each cluster has to satisfy a certain local requirement. Formally, let $\mu$ be a function on the subsets of vertices of a graph $G$. In the $(\mu,p,q)$-PARTITION problem, the task is to find a partition of the vertices into clusters where each cluster $C$ satisfies the requirements that (1) at most $q$ edges leave $C$ and (2) $\mu(C)\le p$. Our first result shows that if $\mu$ is an {\em arbitrary} polynomial-time computable monotone function, then $(\mu,p,q)$-PARTITION can be solved in time $n^{O(q)}$, i.e., it is polynomial-time solvable {\em for every fixed $q$}. We study in detail three concrete functions $\mu$ (the number of vertices in the cluster, number of nonedges in the cluster, maximum number of non-neighbors a vertex has in the cluster), which correspond to natural clustering problems. For these functions, we show that $(\mu,p,q)$-PARTITION can be solved in time $2^{O(p)}\cdot n^{O(1)}$ and in time $2^{O(q)}\cdot n^{O(1)}$ on $n$-vertex graphs, i.e., the problem is fixed-parameter tractable parameterized by $p$ or by $q$.

Connected through hyperedge HE-1 (induced by source paper "randomized contractions meet lean decompositions"):
  with members:
    - "reducing cmso model checking to highly connected graphs"
    - "definability equals recognizability for graphs of bounded treewidth"
    - "linear time kernelization for feedback vertex set"
    - "parameterized complexity dichotomy for steiner multicut"
    - "half integrality lp branching and fpt algorithms"
    - "minimum bisection is fixed parameter tractable"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "don t be strict in local search"

Connected through hyperedge HE-2 (induced by source paper "clustering to given connectivities"):
  with members:
    - "reducing cmso model checking to highly connected graphs"
    - "parameterized algorithms for partitioning graphs into highly connected clusters"
    - "finding connected secluded subgraphs"
    - "spanning circuits in regular matroids"
    - "fully polynomial time parameterized computations for graphs and matrices of low treewidth"
    - "parameterized algorithms for min max multiway cut and list digraph homomorphism"
    - "a short survey on data clustering algorithms"
    - "designing fpt algorithms for cut problems using randomized contractions"

Connected through hyperedge HE-3 (induced by source paper "covering small independent sets and separators with applications to parameterized algorithms"):
  with members:
    - "a linear time parameterized algorithm for node unique label cover"
    - "a linear time parameterized algorithm for directed feedback vertex set"
    - "linear time fpt algorithms via network flow"
    - "faster parameterized algorithms using linear programming"
    - "fixed parameter tractability of multicut in directed acyclic graphs"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "finding small separators in linear time via treewidth reduction"
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"

Connected through hyperedge HE-4 (induced by source paper "parameterized complexity and approximability of directed odd cycle transversal"):
  with members:
    - "a linear time parameterized algorithm for node unique label cover"
    - "directed multicut is w 1 hard even for four terminal pairs"
    - "linear time fpt algorithms via network flow"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "faster parameterized algorithms using linear programming"
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

Connected through hyperedge HE-5 (induced by source paper "on the complexity of multi parameterized cluster editing"):
  with members:
    - "clustering is difficult only when it does not matter"
    - "cluster editing kernelization based on edge cuts"
    - "community structure in large networks natural cluster sizes and the absence of large well defined clusters"

Connected through hyperedge HE-6 (induced by source paper "list h coloring a graph by removing few vertices"):
  with members:
    - "space complexity of list h colouring a dichotomy"
    - "faster parameterized algorithms using linear programming"
    - "fixed parameter tractability of multicut in directed acyclic graphs"
    - "directed subset feedback vertex set is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"
    - "on multiway cut parameterized above lower bounds"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

Connected through hyperedge HE-7 (induced by source paper "on the parameterized complexity of cutting a few vertices from a graph"):
  with members:
    - "a note on small cuts for a terminal"

Connected through hyperedge HE-8 (induced by source paper "designing fpt algorithms for cut problems using randomized contractions"):
  with members:
    - "half integrality lp branching and fpt algorithms"
    - "faster parameterized algorithms using linear programming"
    - "fixed parameter tractability of multicut in directed acyclic graphs"
    - "on group feedback vertex set parameterized by the size of the cutset"
    - "minimum k way cut of bounded size is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "large isolating cuts shrink the multiway cut"
    - "fixed parameter tractability of directed multiway cut 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)