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: "nc algorithms for perfect matching and maximum flow in one crossing minor free graphs"
  Abstract: In 1988, Vazirani gave an NC algorithm for computing the number of perfect matchings in $K_{3,3}$-minor-free graphs by building on Kasteleyn's scheme for planar graphs, and stated that this "opens up the possibility of obtaining an NC algorithm for finding a perfect matching in $K_{3,3}$-free graphs." In this paper, we finally settle this 30-year-old open problem. Building on the recent breakthrough result of Anari and Vazirani giving an NC algorithm for finding a perfect matching in planar graphs and graphs of bounded genus, we also obtain NC algorithms for any minor-closed graph family that forbids a one-crossing graph. The class contains several well-studied graph families including the $K_{3,3}$-minor-free graphs and $K_5$-minor-free graphs. Graphs in these classes not only have unbounded genus, but also can have genus as high as $O(n)$. In particular, we obtain NC algorithms for: #R##N#* Determining whether a one-crossing-minor-free graph has a perfect matching and if so, finding one. #R##N#* Finding a minimum weight perfect matching in a one-crossing-minor-free graph, assuming that the edge weights are polynomially bounded. #R##N#* Finding a maximum $st$-flow in a one-crossing-minor-free flow network, with arbitrary capacities. #R##N#The main new idea enabling our results is the definition and use of matching-mimicking networks, small replacement networks that behave the same, with respect to matching problems involving a fixed set of terminals, as the larger network they replace.

Connected through hyperedge HE-1 (induced by source paper "matching is as easy as the decision problem in the nc model"):
  with members:
    - "the matching problem in general graphs is in quasi nc"
    - "isolating a vertex via lattices polytopes with totally unimodular faces"
    - "planar graph perfect matching is in nc"
    - "nc algorithms for weighted planar perfect matching and related problems"
    - "bipartite perfect matching is in quasi nc"
    - "navigating central path with electrical flows from flows to matchings and back"
    - "algorithmic applications of baur strassen s theorem shortest cycles diameter and matchings"
    - "deterministically isolating a perfect matching in bipartite planar graphs"

Connected through hyperedge HE-2 (induced by source paper "finding maximal sets of laminar 3 separators in planar graphs in linear time"):
  with members:
    - "connectivity preserving iterative compaction and finding 2 disjoint rooted paths in linear time"
    - "flows in one crossing minor free graphs"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-3 (induced by source paper "planar graph perfect matching is in nc"):
  with members:
    - "the matching problem in general graphs is in quasi nc"
    - "isolating a vertex via lattices polytopes with totally unimodular faces"
    - "nc algorithms for weighted planar perfect matching and related problems"
    - "bipartite perfect matching is in quasi nc"
    - "all pairs minimum cuts in near linear time for surface 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.DS(Data Structures and Algorithms)