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: "recognizing ic planar and nic planar graphs"
  Abstract: We prove that triangulated IC-planar and NIC-planar graphs can be recognized in cubic time. #R##N#A graph is 1-planar if it can be drawn in the plane with at most one crossing per edge. A drawing is IC-planar if, in addition, each vertex is incident to at most one crossing edge and NIC-planar if two pairs of crossing edges share at most one vertex. In a triangulated drawing each face is a triangle. In consequence, planar-maximal and maximal IC-planar and NIC-planar graphs can be recognized in O(n^5) time and maximum and optimal ones in O(n^3) time. In contrast, recognizing 3-connected IC-planar and NIC-planar graphs is NP-complete, even if the graphs are given with a rotation system which describes the cyclic ordering of the edges at each vertex. Our results complement similar ones for 1-planar graphs.

Connected through hyperedge HE-1 (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-2 (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"
    - "ortho polygon visibility representations of embedded graphs"
    - "approximation algorithms for polynomial expansion and low density graphs"

Connected through hyperedge HE-3 (induced by source paper "nic planar graphs"):
  with members:
    - "parameterized complexity of 1 planarity"
    - "recognizing optimal 1 planar graphs in linear time"
    - "a note on ic planar graphs"
    - "recognizing and drawing ic planar graphs"
    - "on 4 map graphs and 1 planar graphs and their recognition problem"
    - "adding one edge to planar graphs makes crossing number and 1 planarity hard"

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)