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: "crossing patterns in nonplanar road networks"
  Abstract: We define the crossing graph of a given embedded graph (such as a road network) to be a graph with a vertex for each edge of the embedding, with two crossing graph vertices adjacent when the corresponding two edges of the embedding cross each other. In this paper, we study the sparsity properties of crossing graphs of real-world road networks. We show that, in large road networks (the Urban Road Network Dataset), the crossing graphs have connected components that are primarily trees, and that the remaining non-tree components are typically sparse (technically, that they have bounded degeneracy). We prove theoretically that when an embedded graph has a sparse crossing graph, it has other desirable properties that lead to fast algorithms for shortest paths and other algorithms important in geographic information systems. Notably, these graphs have polynomial expansion, meaning that they and all their subgraphs have small separators.

Connected through hyperedge HE-1 (induced by source paper "on the edge crossings of the greedy spanner"):
  with members:
    - "the greedy spanner is existentially optimal"
    - "a light metric spanner"
    - "structured recursive separator decompositions for planar graphs in linear time"

Connected through hyperedge HE-2 (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"
    - "re embedding a 1 plane graph into a straight line drawing in linear time"
    - "ortho polygon visibility representations of embedded graphs"

Connected through hyperedge HE-3 (induced by source paper "edge crossings in random linear arrangements"):
  with members:
    - "on the maximum crossing number"
    - "scarcity of crossing dependencies a direct outcome of a specific constraint"
    - "non crossing dependencies least effort not grammar"
    - "crossings as a side effect of dependency lengths"
    - "liberating language research from dogmas of the 20th century"
    - "a stronger null hypothesis for crossing dependencies"
    - "random crossings in dependency trees"
    - "practical graph isomorphism ii"

Connected through hyperedge HE-4 (induced by source paper "the densest k subgraph problem in b outerplanar graphs"):
  with members:
    - "approximation schemes for steiner forest on planar graphs and graphs of bounded treewidth"

Connected through hyperedge HE-5 (induced by source paper "minimum weight connectivity augmentation for planar straight line graphs"):
  with members:
    - "on the relationship between k planar and k quasi planar graphs"
    - "an annotated bibliography on 1 planarity"
    - "two planar graphs are quasiplanar"
    - "on the density of non simple 3 planar graphs"
    - "recognizing and drawing ic planar graphs"
    - "a simplified 1 5 approximation algorithm for augmenting edge connectivity of a graph from 1 to 2"
    - "on the recognition of fan planar and maximal outer fan planar graphs"
    - "flip distance between triangulations of a planar point set is apx hard"

Connected through hyperedge HE-6 (induced by source paper "reactive proximity data structures for graphs"):
  with members:
    - "dynamic geometric data structures via shallow cuttings"
    - "better tradeoffs for exact distance oracles in planar graphs"
    - "defining equitable geographic districts in road networks via stable matching"
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"
    - "treetopes and their graphs"
    - "going off road transversal complexity in road networks"
    - "all maximal independent sets and dynamic dominance for sparse graphs"
    - "fast hierarchical clustering and other applications of dynamic closest pairs"

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)