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: "notes on large angle crossing graphs"
  Abstract: A graph G is an a-angle crossing (aAC) graph if every pair of crossing edges in G intersect at an angle of at least a. The concept of right angle crossing (RAC) graphs (a=Pi/2) was recently introduced by Didimo et. al. It was shown that any RAC graph with n vertices has at most 4n-10 edges and that there are infinitely many values of n for which there exists a RAC graph with n vertices and 4n-10 edges. In this paper, we give upper and lower bounds for the number of edges in aAC graphs for all 0 < a < Pi/2.

Connected through hyperedge HE-1 (induced by source paper "graphs with large total angular resolution"):
  with members:
    - "a heuristic approach towards drawings of graphs with high crossing resolution"
    - "maximizing the total resolution of graphs"
    - "the straight line rac drawing problem is np hard"

Connected through hyperedge HE-2 (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-3 (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"
    - "nic planar graphs"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "a greedy heuristic for crossing angle maximization"):
  with members:
    - "experimental evaluation of book drawing algorithms"
    - "networkit a tool suite for large scale complex network analysis"
    - "maximizing the total resolution of graphs"
    - "the straight line rac drawing problem is np hard"

Connected through hyperedge HE-5 (induced by source paper "on the density of non simple 3 planar graphs"):
  with members:
    - "on the density of 3 planar graphs"
    - "planar octilinear drawings with one bend per edge"
    - "the density of fan planar graphs"
    - "1 visibility representations of 1 planar graphs"
    - "on the number of edges of fan crossing free graphs"

Connected through hyperedge HE-6 (induced by source paper "on the density of 3 planar graphs"):
  with members:
    - "planar octilinear drawings with one bend per edge"
    - "1 visibility representations of 1 planar graphs"
    - "on the number of edges of fan crossing free graphs"

Connected through hyperedge HE-7 (induced by source paper "properties and complexity of fan planarity"):
  with members:
    - "the density of fan planar graphs"
    - "on the number of edges of fan crossing free graphs"

Connected through hyperedge HE-8 (induced by source paper "optimal 3d angular resolution for low degree graphs"):
  with members:
    - "maximizing the total resolution of graphs"
    - "isometric diamond subgraphs"
    - "trees with convex faces and optimal angles"
    - "the geometric thickness of low degree 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)