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: "intersection link representations of graphs"
  Abstract: We consider drawings of graphs that contain dense subgraphs. We introduce intersection-link representations for such graphs, in which each vertex $u$ is represented by a geometric object $R(u)$ and in which each edge $(u,v)$ is represented by the intersection between $R(u)$ and $R(v)$ if it belongs to a dense subgraph or by a curve connecting the boundaries of $R(u)$ and $R(v)$ otherwise. We study a notion of planarity, called Clique Planarity, for intersection-link representations of graphs in which the dense subgraphs are cliques.

Connected through hyperedge HE-1 (induced by source paper "c planarity testing of embedded clustered graphs with bounded dual carving width"):
  with members:
    - "atomic embeddability clustered planarity and thickenability"
    - "clustered planarity flat clustered planarity"
    - "subexponential time and fpt algorithms for embedded flat clustered planarity"
    - "embedded width a variant of treewidth for plane graphs"
    - "recognizing weak embeddings of graphs"
    - "hanani tutte for approximating maps of graphs"
    - "clustered planarity with pipes"
    - "computing nodetrix representations of clustered graphs"

Connected through hyperedge HE-2 (induced by source paper "upward book embeddings of st graphs"):
  with members:
    - "upward planar morphs"
    - "windrose planarity embedding graphs with direction constrained edges"
    - "crossing minimization for 1 page and 2 page drawings of graphs with bounded treewidth"
    - "upward partitioned book embeddings"
    - "planar l drawings of directed graphs"
    - "arc diagrams flip distances and hamiltonian triangulations"
    - "the book thickness of 1 planar graphs is constant"
    - "two page book embeddings of 4 planar graphs"

Connected through hyperedge HE-3 (induced by source paper "simultaneous fpq ordering and hybrid planarity testing"):
  with members:
    - "graph planarity testing with hierarchical embedding constraints"
    - "computing k modal embeddings of planar digraphs"
    - "turning cliques into paths to achieve planarity"
    - "nodetrix planarity testing with small clusters"
    - "computing nodetrix representations of clustered graphs"
    - "beyond level planarity"
    - "simultaneous pq ordering with applications to constrained embedding problems"

Connected through hyperedge HE-4 (induced by source paper "chordlink a new hybrid visualization model"):
  with members:
    - "k p planarity a relaxation of hybrid planarity"
    - "nodetrix planarity testing with small clusters"
    - "computing nodetrix representations of clustered graphs"
    - "a fraud detection visualization system utilizing radial drawings and heat maps"

Connected through hyperedge HE-5 (induced by source paper "graph planarity testing with hierarchical embedding constraints"):
  with members:
    - "a new perspective on clustered planarity as a combinatorial embedding problem"
    - "simultaneous pq ordering with applications to constrained embedding problems"

Connected through hyperedge HE-6 (induced by source paper "clustered planarity flat clustered planarity"):
  with members:
    - "subexponential time and fpt algorithms for embedded flat clustered planarity"
    - "nodetrix planarity testing with small clusters"
    - "recognizing weak embeddings of graphs"
    - "hanani tutte for approximating maps of graphs"
    - "c planarity of embedded cyclic c graphs"
    - "clustered planarity with pipes"
    - "computing nodetrix representations of clustered graphs"
    - "embedding graphs into embedded graphs"

Connected through hyperedge HE-7 (induced by source paper "turning cliques into paths to achieve planarity"):
  with members:
    - "a survey on graph drawing beyond planarity"
    - "the partition spanning forest problem"
    - "on optimal 2 and 3 planar graphs"
    - "revisited experimental comparison of node link and matrix representations"
    - "nodetrix planarity testing with small clusters"
    - "an annotated bibliography on 1 planarity"
    - "computing nodetrix representations of clustered graphs"
    - "minimum weight triangulation is np hard"

Connected through hyperedge HE-8 (induced by source paper "k p planarity a generalization of hybrid planarity"):
  with members:
    - "a survey on graph drawing beyond planarity"
    - "nic planar graphs"
    - "nodetrix planarity testing with small clusters"
    - "an annotated bibliography on 1 planarity"
    - "1 bend rac drawings of 1 planar graphs"
    - "computing nodetrix representations of clustered graphs"
    - "recognizing and drawing ic planar graphs"

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)