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: "nic planar graphs"
  Abstract: A graph is NIC-planar if it admits a drawing in the plane with at most one crossing per edge and such that two pairs of crossing edges share at most one common end vertex. NIC-planarity generalizes IC-planarity, which allows a vertex to be incident to at most one crossing edge, and specializes 1-planarity, which only requires at most one crossing per edge. #R##N#We characterize embeddings of maximal NIC-planar graphs in terms of generalized planar dual graphs. The characterization is used to derive tight bounds on the density of maximal NIC-planar graphs which ranges between 3.2(n-2) and 3.6(n-2). Further, we prove that optimal NIC-planar graphs with 3.6(n-2) edges have a unique embedding and can be recognized in linear time, whereas the general recognition problem of NIC-planar graphs is NP-complete. In addition, we show that there are NIC-planar graphs that do not admit right angle crossing drawings, which distinguishes NIC-planar from IC-planar graphs.

Connected through hyperedge HE-1 (induced by source paper "fan crossing free graphs"):
  with members:
    - "efficient generation of different topological representations of graphs beyond planarity"
    - "simple k planar graphs are simple k 1 quasiplanar"
    - "a survey on graph drawing beyond planarity"
    - "recognizing optimal 1 planar graphs in linear time"
    - "t shape visibility representations of 1 planar graphs"
    - "on fan crossing graphs"
    - "an annotated bibliography on 1 planarity"
    - "recognizing and drawing ic planar graphs"

Connected through hyperedge HE-2 (induced by source paper "map graphs having witnesses of large girth"):
  with members:
    - "recognizing optimal 1 planar graphs in linear time"
    - "hardness and structural results for half squares of restricted tree convex bipartite graphs"
    - "bidimensionality and geometric graphs"

Connected through hyperedge HE-3 (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-4 (induced by source paper "t shape visibility representations of 1 planar graphs"):
  with members:
    - "recognizing optimal 1 planar graphs in linear time"
    - "an annotated bibliography on 1 planarity"
    - "recognizing and drawing ic planar graphs"
    - "ortho polygon visibility representations of embedded graphs"
    - "simultaneous visibility representations of plane st graphs using l shapes"
    - "on 4 map graphs and 1 planar graphs and their recognition problem"
    - "l visibility drawings of ic planar graphs"
    - "1 visibility representations of 1 planar graphs"

Connected through hyperedge HE-5 (induced by source paper "a heuristic approach towards drawings of graphs with high crossing resolution"):
  with members:
    - "a survey on graph drawing beyond planarity"
    - "geodesic obstacle representation of graphs"
    - "a greedy heuristic for crossing angle maximization"
    - "on the edge length ratio of outerplanar graphs"
    - "recognizing and drawing ic planar graphs"
    - "maximizing the total resolution of graphs"
    - "the straight line rac drawing problem is np hard"
    - "notes on large angle crossing graphs"

Connected through hyperedge HE-6 (induced by source paper "k p planarity a generalization of hybrid planarity"):
  with members:
    - "a survey on graph drawing beyond planarity"
    - "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"
    - "intersection link representations of graphs"

Connected through hyperedge HE-7 (induced by source paper "on rac drawings of graphs with one bend per edge"):
  with members:
    - "a survey on graph drawing beyond planarity"
    - "on the density of non simple 3 planar graphs"
    - "recognizing and drawing ic planar graphs"
    - "the density of fan planar graphs"
    - "on the number of edges of fan crossing free graphs"
    - "the straight line rac drawing problem is np hard"

Connected through hyperedge HE-8 (induced by source paper "compact drawings of 1 planar graphs with right angle crossings and few bends"):
  with members:
    - "a survey on graph drawing beyond planarity"
    - "an annotated bibliography on 1 planarity"
    - "recognizing and drawing ic planar graphs"
    - "l visibility drawings of 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.DM(Discrete Mathematics)