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: "a near linear approximation scheme for multicuts of embedded graphs with a fixed number of terminals"
  Abstract: For an undirected edge-weighted graph G and a set R of pairs of vertices called pairs of terminals, a multicut is a set of edges such that removing these edges from G disconnects each pair in R. We provide an algorithm computing a $(1+\varepsilon)$-approximation of the minimum multicut of a graph G in time $(g+t)^{(O(g+t)^3)}\cdot(1/\varepsilon)^{O(g+t)} \cdot n \log n$, where g is the genus of G and t is the number of terminals. #R##N#This result is tight in several aspects, as the minimum multicut problem is for example both APX-hard and W[1]-hard (parameterized by the number of terminals), even on planar graphs (equivalently, when g=0). #R##N#In order to achieve this, our article leverages on a novel characterization of a minimum multicut as a Steiner tree in the universal cover of a surface on which G is embedded. The algorithm heavily relies on topological techniques, and in particular on the use of homotopical tools and computations in covering spaces, which we blend with ideas stemming from approximation schemes for planar graphs and low-dimensional geometric inputs.

Connected through hyperedge HE-1 (induced by source paper "almost tight lower bounds for hard cutting problems in embedded graphs"):
  with members:
    - "a framework for eth tight algorithms and lower bounds in geometric intersection graphs"
    - "computational topology of graphs on surfaces"
    - "on subexponential parameterized algorithms for steiner tree and directed subset tsp on planar graphs"
    - "subexponential parameterized algorithms for planar and apex minor free graphs via low treewidth pattern covering"
    - "the limited blessing of low dimensionality when 1 1 d is the best possible exponent for d dimensional geometric problems"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "multicuts in planar and bounded genus graphs with bounded number of terminals"
    - "a fixed parameter tractable approximation scheme for the optimal cut graph of a surface"

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)