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: "space efficient plane sweep algorithms"
  Abstract: We introduce space-efficient plane-sweep algorithms for basic planar geometric problems. It is assumed that the input is in a read-only array of $n$ items and that the available workspace is $\Theta(s)$ bits, where $\lg n \leq s \leq n \cdot \lg n$. Three techniques that can be used as general tools in different space-efficient algorithms are introduced and employed within our algorithms. In particular, we give an almost-optimal algorithm for finding the closest pair among a set of $n$ points that runs in $O(n^2/s + n \cdot \lg s)$ time. We also give a simple algorithm to enumerate the intersections of $n$ line segments that runs in $O((n^2/s^{2/3}) \cdot \lg s + k)$ time, where $k$ is the number of intersections. The counting version can be solved in $O((n^2/s^{2/3}) \cdot \lg s)$~time. When the segments are axis-parallel, we give an $O((n^2/s) \cdot \lg^{4/3} s + n^{4/3} \cdot \lg^{1/3} n)$-time algorithm for counting the intersections, and an algorithm for enumerating the intersections that runs in $O((n^2/s) \cdot \lg s \cdot \lg \lg s + n \cdot \lg s + k)$ time, where $k$ is the number of intersections. We finally present an algorithm that runs in $O((n^2/s + n \cdot \lg s) \cdot \sqrt{(n/s) \cdot \lg n})$ time to calculate Klee's measure of axis-parallel rectangles.

Connected through hyperedge HE-1 (induced by source paper "outer common tangents and nesting of convex hulls in linear time and constant workspace"):
  with members:
    - "minimum perimeter sum partitions in the plane"
    - "memory adjustable navigation piles with applications to sorting and convex hulls"
    - "time space trade off algorithms for triangulating a simple polygon"
    - "an optimal algorithm for the separating common tangents of two polygons"
    - "shortest path in a polygon using sublinear space"
    - "memory constrained algorithms for simple polygons"

Connected through hyperedge HE-2 (induced by source paper "space efficient biconnected components and recognition of outerplanar graphs"):
  with members:
    - "rank select indices without tears"
    - "improved space efficient linear time algorithms for some classical graph problems"
    - "succinct choice dictionaries"
    - "improved space efficient algorithms for bfs dfs and applications"
    - "a simple test on 2 vertex and 2 edge connectivity"
    - "space time trade offs for stack based algorithms"

Connected through hyperedge HE-3 (induced by source paper "memory adjustable navigation piles with applications to sorting and convex hulls"):
  with members:
    - "selection from read only memory with limited workspace"
    - "memory constrained algorithms for simple polygons"
    - "convex hull and linear programming in read only setup with limited work space"
    - "space time trade offs for stack based algorithms"
    - "dynamic range majority data structures"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"

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)