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: "computing nodetrix representations of clustered graphs"
  Abstract: NodeTrix representations are a popular way to visualize clustered graphs; they represent clusters as adjacency matrices and inter-cluster edges as curves connecting the matrix boundaries. We study the complexity of constructing NodeTrix representations focusing on planarity testing problems, and we show several NP-completeness results and some polynomial-time algorithms. Building on such algorithms we develop a JavaScript library for NodeTrix representations aimed at reducing the crossings between edges incident to the same matrix.

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"
    - "a new perspective on clustered planarity as a combinatorial embedding problem"

Connected through hyperedge HE-2 (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"
    - "intersection link representations of graphs"
    - "beyond level planarity"
    - "simultaneous pq ordering with applications to constrained embedding problems"

Connected through hyperedge HE-3 (induced by source paper "computing k modal embeddings of planar digraphs"):
  with members:
    - "windrose planarity embedding graphs with direction constrained edges"
    - "turning cliques into paths to achieve planarity"
    - "nodetrix planarity testing with small clusters"
    - "planar l drawings of directed graphs"
    - "ordered level planarity geodesic planarity and bi monotonicity"
    - "beyond level planarity"

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"
    - "intersection link representations of graphs"
    - "a fraud detection visualization system utilizing radial drawings and heat maps"

Connected through hyperedge HE-5 (induced by source paper "a survey on graph drawing beyond planarity"):
  with members:
    - "parameterized complexity of 1 planarity"
    - "minimum weight connectivity augmentation for planar straight line graphs"
    - "compact drawings of 1 planar graphs with right angle crossings and few bends"
    - "drawing subcubic 1 planar graphs with few bends few slopes and large angles"
    - "turning cliques into paths to achieve planarity"
    - "a heuristic approach towards drawings of graphs with high crossing resolution"
    - "on rac drawings of graphs with one bend per edge"
    - "recognizing optimal 1 planar graphs in linear time"

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"
    - "embedding graphs into embedded graphs"
    - "a new perspective on clustered planarity as a combinatorial embedding problem"

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"
    - "intersection link representations of 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"
    - "recognizing and drawing ic planar graphs"
    - "intersection link representations of 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.CG(Computational Geometry)