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: "planarity of streamed graphs"
  Abstract: In this paper we introduce a notion of planarity for graphs that are presented in a streaming fashion. A $\textit{streamed graph}$ is a stream of edges $e_1,e_2,...,e_m$ on a vertex set $V$. A streamed graph is $\omega$-$\textit{stream planar}$ with respect to a positive integer window size $\omega$ if there exists a sequence of planar topological drawings $\Gamma_i$ of the graphs $G_i=(V,\{e_j \mid i\leq j < i+\omega\})$ such that the common graph $G^{i}_\cap=G_i\cap G_{i+1}$ is drawn the same in $\Gamma_i$ and in $\Gamma_{i+1}$, for $1\leq i < m-\omega$. The $\textit{Stream Planarity}$ Problem with window size $\omega$ asks whether a given streamed graph is $\omega$-stream planar. We also consider a generalization, where there is an additional $\textit{backbone graph}$ whose edges have to be present during each time step. These problems are related to several well-studied planarity problems. #R##N#We show that the $\textit{Stream Planarity}$ Problem is NP-complete even when the window size is a constant and that the variant with a backbone graph is NP-complete for all $\omega \ge 2$. On the positive side, we provide $O(n+\omega{}m)$-time algorithms for (i) the case $\omega = 1$ and (ii) all values of $\omega$ provided the backbone graph consists of one $2$-connected component plus isolated vertices and no stream edge connects two isolated vertices. Our results improve on the Hanani-Tutte-style $O((nm)^3)$-time algorithm proposed by Schaefer [GD'14] for $\omega=1$.

Connected through hyperedge HE-1 (induced by source paper "graph stories in small area"):
  with members:
    - "hierarchical partial planarity"
    - "offline drawing of dynamic trees algorithmics and document integration"
    - "an introduction to temporal graphs an algorithmic perspective"
    - "streamed graph drawing and the file maintenance problem"
    - "picking planar edges or drawing a graph with a planar subgraph"
    - "simultaneous embedding of planar graphs"

Connected through hyperedge HE-2 (induced by source paper "hierarchical partial planarity"):
  with members:
    - "simultaneous orthogonal planarity"
    - "simultaneous drawing of planar graphs with right angle crossings and few bends"
    - "drawing partially embedded and simultaneously planar graphs"
    - "streamed graph drawing and the file maintenance problem"
    - "advancements on sefe and partitioned book embedding problems"
    - "picking planar edges or drawing a graph with a planar subgraph"
    - "algorithms and bounds for drawing non planar graphs with crossing free subgraphs"
    - "disconnectivity and relative positions in simultaneous embeddings"

Connected through hyperedge HE-3 (induced by source paper "algorithms and bounds for drawing non planar graphs with crossing free subgraphs"):
  with members:
    - "simultaneous embedding edge orderings relative positions cutvertices"
    - "advancements on sefe and partitioned book embedding problems"
    - "picking planar edges or drawing a graph with a planar subgraph"
    - "simultaneous embedding of planar graphs"
    - "testing simultaneous planarity when the common graph is 2 connected"

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)