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: "kernelization algorithms for packing problems allowing overlaps"
  Abstract: We consider the problem of discovering overlapping communities in networks which we model as generalizations of the Set and Graph Packing problems with overlap. #R##N#As usual for Set Packing problems we seek a collection $\mathcal{S}$ consisting of at least $k$ sets subject to certain disjointness restrictions. In a Set Packing with $t$-Membership, each element of $\mathcal{U}$ belongs to at most $t$ sets while in a Set Packing with $t$-Overlap each pair of sets overlaps in at most $t$ elements. For both problems, each set of $\mathcal{S}$ has at most $r$ elements, and $t$ and $r$ are constants. #R##N#Similarly, both of our graph packing problems seek a collection of at least $k$ subgraphs in a graph $G$ each isomorphic to a graph $H \in \mathcal{H}$. In an $\mathcal{H}$-Packing with $t$-Membership, each vertex of $G$ belongs to at most $t$ subgraphs while in an $\mathcal{H}$-Packing with $t$-Overlap each pair of subgraphs overlaps in at most $t$ vertices. For both problems, each member of $\mathcal{H}$ has at most $r$ vertices, and $t$ and $r$ are constants. #R##N#We provide NP-Completeness results for all of our packing problems. Given that, we reduce the Set Packing with $t$-Overlap to an $O(r^r k^{r-t-1})$ problem kernel while we achieve an $O(r^r k^{r-1})$ problem kernel for the Set Packing with $t$-Membership. In addition, we reduce the $\mathcal{H}$-Packing with $t$-Membership and its induced version to an $O(r^r k^{r-1})$ kernel. Moreover, we give an $O(r^{2r^2} k^{{r^2}-1})$ kernel for its edge version. On the other hand, we achieve an $O(r^r k^{r-t-1})$ kernel for the $\mathcal{H}$-Packing with $t$-Overlap and its induced version while we provide an $O(r^{2r^2} k^{r^2-t-1})$ kernel for its edge version. Our kernel results match the best kernel for Set and Graph Packing.

Connected through hyperedge HE-1 (induced by source paper "explicit linear kernels for packing problems"):
  with members:
    - "bidimensionality and kernels"
    - "scattered packings of cycles"
    - "induced packings of cycles"
    - "large treewidth graph decompositions and applications"
    - "explicit linear kernels via dynamic programming"
    - "polynomial bounds for the grid minor theorem"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "solving connectivity problems parameterized by treewidth in single exponential time"

Connected through hyperedge HE-2 (induced by source paper "fast algorithms for parameterized problems with relaxed disjointness constraints"):
  with members:
    - "representative sets of product families"
    - "representative sets for multisets"
    - "representative families a unified tradeoff based approach"
    - "on r simple k path"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "deterministic parameterized algorithms for matching and packing problems"
    - "narrow sieves for parameterized paths and packings"

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)