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: "orthogonal graph drawing with inflexible edges"
  Abstract: We consider the problem of creating plane orthogonal drawings of 4-planar graphs (planar graphs with maximum degree 4) with constraints on the number of bends per edge. More precisely, we have a flexibility function assigning to each edge $e$ a natural number $\mathrm{flex}(e)$, its flexibility. The problem FlexDraw asks whether there exists an orthogonal drawing such that each edge $e$ has at most $\mathrm{flex}(e)$ bends. It is known that FlexDraw is NP-hard if $\mathrm{flex}(e) = 0$ for every edge $e$. On the other hand, FlexDraw can be solved efficiently if $\mathrm{flex}(e) \ge 1$ and is trivial if $\mathrm{flex}(e) \ge 2$ for every edge $e$. #R##N#To close the gap between the NP-hardness for $\mathrm{flex}(e) = 0$ and the efficient algorithm for $\mathrm{flex}(e) \ge 1$, we investigate the computational complexity of FlexDraw in case only few edges are inflexible (i.e., have flexibility~$0$). We show that for any $\varepsilon > 0$ FlexDraw is NP-complete for instances with $O(n^\varepsilon)$ inflexible edges with pairwise distance $\Omega(n^{1-\varepsilon})$ (including the case where they induce a matching). On the other hand, we give an FPT-algorithm with running time $O(2^k\cdot n \cdot T_{\mathrm{flow}}(n))$, where $T_{\mathrm{flow}}(n)$ is the time necessary to compute a maximum flow in a planar flow network with multiple sources and sinks, and $k$ is the number of inflexible edges having at least one endpoint of degree 4.

Connected through hyperedge HE-1 (induced by source paper "an spqr tree like embedding representation for upward planarity"):
  with members:
    - "extending upward planar graph drawings"
    - "bend minimum orthogonal drawings in quadratic time"
    - "level planarity transitivity vs even crossings"
    - "simultaneous embedding edge orderings relative positions cutvertices"
    - "planar embeddings with small and uniform faces"
    - "optimal orthogonal graph drawing with convex bend costs"
    - "a kuratowski type theorem for planarity of partially embedded graphs"
    - "simultaneous embedding of planar graphs"

Connected through hyperedge HE-2 (induced by source paper "sketched representations and orthogonal planarity of bounded treewidth graphs"):
  with members:
    - "drawing hv restricted planar graphs"
    - "parameterized complexity of 1 planarity"
    - "bend minimum orthogonal drawings in quadratic time"
    - "crossing minimization for 1 page and 2 page drawings of graphs with bounded treewidth"

Connected through hyperedge HE-3 (induced by source paper "optimal orthogonal drawings of planar 3 graphs in linear time"):
  with members:
    - "matrix scaling and balancing via box constrained newton s method and interior point methods"

Connected through hyperedge HE-4 (induced by source paper "optimal morphs of planar orthogonal drawings"):
  with members:
    - "how to morph planar graph drawings"
    - "compatible connectivity augmentation of planar disconnected graphs"

Connected through hyperedge HE-5 (induced by source paper "on smooth orthogonal and octilinear drawings relations complexity and kandinsky drawings"):
  with members:
    - "drawing hv restricted planar graphs"
    - "arc diagrams flip distances and hamiltonian triangulations"
    - "on the total number of bends for planar octilinear drawings"
    - "planar octilinear drawings with one bend per edge"
    - "smooth orthogonal drawings of planar graphs"
    - "planar lombardi drawings for subcubic graphs"
    - "lombardi drawings of graphs"

Connected through hyperedge HE-6 (induced by source paper "universal slope sets for 1 bend planar drawings"):
  with members:
    - "1 bend upward planar drawings of sp digraphs"
    - "on the total number of bends for planar octilinear drawings"
    - "graph drawings with one bend and few slopes"
    - "planar octilinear drawings with one bend per edge"
    - "outerplanar graph drawings with few slopes"
    - "drawing trees with perfect angular resolution and polynomial area"

Connected through hyperedge HE-7 (induced by source paper "towards a topology shape metrics framework for ortho radial drawings"):
  with members:
    - "complexity of higher degree orthogonal graph embedding in the kandinsky model"
    - "optimal orthogonal graph drawing with convex bend costs"

Connected through hyperedge HE-8 (induced by source paper "complexity of higher degree orthogonal graph embedding in the kandinsky model"):
  with members:
    - "optimal orthogonal graph drawing with convex bend costs"

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)