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 time trade offs for stack based algorithms"
  Abstract: In memory-constrained algorithms we have read-only access to the input, and the number of additional variables is limited. In this paper we introduce the compressed stack technique, a method that allows to transform algorithms whose space bottleneck is a stack into memory-constrained algorithms. Given an algorithm \alg\ that runs in O(n) time using $\Theta(n)$ variables, we can modify it so that it runs in $O(n^2/s)$ time using a workspace of O(s) variables (for any $s\in o(\log n)$) or $O(n\log n/\log p)$ time using $O(p\log n/\log p)$ variables (for any $2\leq p\leq n$). We also show how the technique can be applied to solve various geometric problems, namely computing the convex hull of a simple polygon, a triangulation of a monotone polygon, the shortest path between two points inside a monotone polygon, 1-dimensional pyramid approximation of a 1-dimensional vector, and the visibility profile of a point inside a simple polygon. Our approach exceeds or matches the best-known results for these problems in constant-workspace models (when they exist), and gives the first trade-off between the size of the workspace and running time. To the best of our knowledge, this is the first general framework for obtaining memory-constrained algorithms.

Connected through hyperedge HE-1 (induced by source paper "common tangents of two disjoint polygons in linear time and constant workspace"):
  with members:
    - "computational geometry column 67"
    - "minimum perimeter sum partitions in the plane"
    - "outer common tangents and nesting of convex hulls in linear time and constant workspace"
    - "an optimal algorithm for the separating common tangents of two polygons"

Connected through hyperedge HE-2 (induced by source paper "time space trade off for finding the k visibility region of a point in a polygon"):
  with members:
    - "modem illumination of monotone polygons"
    - "memory constrained algorithms for simple polygons"
    - "computing a visibility polygon using few variables"

Connected through hyperedge HE-3 (induced by source paper "optimal in place algorithms for basic graph problems"):
  with members:
    - "biconnectivity st numbering and other applications of dfs using o n bits"
    - "canonizing graphs of bounded tree width in logspace"
    - "a simple test on 2 vertex and 2 edge connectivity"

Connected through hyperedge HE-4 (induced by source paper "computational geometry column 67"):
  with members:
    - "common tangents of two disjoint polygons in linear time and constant workspace"
    - "time space trade off for finding the k visibility region of a point in a polygon"
    - "an experimental study of algorithms for geodesic shortest paths in the constant workspace model"
    - "improved time space trade offs for computing voronoi diagrams"
    - "ime space trade offs for computing euclidean minimum spanning trees"
    - "time space trade offs for triangulations and voronoi diagrams"
    - "experimental study of compressed stack algorithms in limited memory environments"
    - "outer common tangents and nesting of convex hulls in linear time and constant workspace"

Connected through hyperedge HE-5 (induced by source paper "linear time in place dfs and bfs on the word ram"):
  with members:
    - "small uncolored and colored choice dictionaries"
    - "succinct choice dictionaries"
    - "space efficient biconnected components and recognition of outerplanar graphs"
    - "radix sorting with no extra space"

Connected through hyperedge HE-6 (induced by source paper "a new balanced subdivision of a simple polygon for time space trade off algorithms"):
  with members:
    - "computational geometry column 67"
    - "ime space trade offs for computing euclidean minimum spanning trees"
    - "time space trade offs for triangulations and voronoi diagrams"
    - "time space trade offs for triangulating a simple polygon"
    - "shortest path in a polygon using sublinear space"
    - "memory constrained algorithms for simple polygons"

Connected through hyperedge HE-7 (induced by source paper "time space trade offs for triangulations and voronoi diagrams"):
  with members:
    - "shortest path in a polygon using sublinear space"
    - "memory constrained algorithms for simple polygons"
    - "computing a visibility polygon using few variables"

Connected through hyperedge HE-8 (induced by source paper "biconnectivity st numbering and other applications of dfs using o n bits"):
  with members:
    - "improved space efficient linear time algorithms for some classical graph problems"
    - "succinct choice dictionaries"
    - "improved space efficient algorithms for bfs dfs and applications"
    - "canonizing graphs of bounded tree width in logspace"
    - "the mondshein sequence"
    - "a simple test on 2 vertex and 2 edge connectivity"
    - "computing a visibility polygon using few variables"

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.CG(Computational Geometry)