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: "adding one edge to planar graphs makes crossing number and 1 planarity hard"
  Abstract: A graph is near-planar if it can be obtained from a planar graph by adding an edge. We show the surprising fact that it is NP-hard to compute the crossing number of near-planar graphs. A graph is 1-planar if it has a drawing where every edge is crossed by at most one other edge. We show that it is NP-hard to decide whether a given near-planar graph is 1-planar. The main idea in both reductions is to consider the problem of simultaneously drawing two planar graphs inside a disk, with some of its vertices fixed at the boundary of the disk. This leads to the concept of anchored embedding, which is of independent interest. As an interesting consequence we obtain a new, geometric proof of NP-completeness of the crossing number problem, even when restricted to cubic graphs. This resolves a question of Hlin\v{e}n\'y.

Connected through hyperedge HE-1 (induced by source paper "an experimental study of a 1 planarity testing and embedding algorithm"):
  with members:
    - "planar graphs have bounded queue number"
    - "a survey on graph drawing beyond planarity"
    - "parameterized complexity of 1 planarity"
    - "recognizing optimal 1 planar graphs in linear time"
    - "embedding preserving rectangle visibility representations of nonplanar graphs"
    - "an annotated bibliography on 1 planarity"
    - "crossing patterns in nonplanar road networks"
    - "re embedding a 1 plane graph into a straight line drawing in linear time"

Connected through hyperedge HE-2 (induced by source paper "extending simple drawings with one edge is hard"):
  with members:
    - "extending upward planar graph drawings"
    - "extending simple drawings"
    - "the partial visibility representation extension problem"
    - "saturated simple and 2 simple topological graphs with few edges"
    - "extending partial representations of circle graphs"
    - "extending partial representations of subclasses of chordal graphs"
    - "a kuratowski type theorem for planarity of partially embedded graphs"
    - "extending partial representations of function graphs and permutation graphs"

Connected through hyperedge HE-3 (induced by source paper "exact crossing number parameterized by vertex cover"):
  with members:
    - "crossing minimization in perturbed drawings"
    - "approximating the rectilinear crossing number"
    - "crossing number for graphs with bounded pathwidth"
    - "parameterized integer quadratic programming variables and coefficients"
    - "hardness of approximation for crossing number"
    - "an algorithm for the graph crossing number problem"
    - "computing crossing numbers in quadratic time"

Connected through hyperedge HE-4 (induced by source paper "extending simple drawings"):
  with members:
    - "extending upward planar graph drawings"
    - "topological drawings of complete bipartite graphs"
    - "saturated simple and 2 simple topological graphs with few edges"
    - "a kuratowski type theorem for planarity of partially embedded graphs"

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 "recognizing optimal 1 planar graphs in linear time"):
  with members:
    - "parameterized complexity of 1 planarity"
    - "a reduction system for optimal 1 planar graphs"
    - "recognizing and drawing ic planar graphs"
    - "on 4 map graphs and 1 planar graphs and their recognition problem"
    - "on the recognition of fan planar and maximal outer fan planar graphs"
    - "the straight line rac drawing problem is np hard"

Connected through hyperedge HE-7 (induced by source paper "crossing minimization in perturbed drawings"):
  with members:
    - "recognizing weak embeddings of graphs"
    - "hanani tutte for approximating maps of graphs"
    - "recognizing weakly simple polygons"
    - "detecting weakly simple polygons"

Connected through hyperedge HE-8 (induced by source paper "an annotated bibliography on 1 planarity"):
  with members:
    - "parameterized complexity of 1 planarity"
    - "recognizing optimal 1 planar graphs in linear time"
    - "nic planar graphs"
    - "new results on edge partitions of 1 plane graphs"
    - "recognizing and drawing ic planar graphs"
    - "re embedding a 1 plane graph into a straight line drawing in linear time"
    - "recognizing ic planar and nic planar graphs"
    - "ortho polygon visibility representations of embedded 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)