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: "when convexity meets parallelism a novel geometric structure and its application in an optimization problem"
  Abstract: We consider the following geometric optimization problem: given a convex polygon $P$, compute the parallelograms in $P$ with maximal area. To solve it, we invent a novel geometric structure, called $Nest(P)$, which is induced by $P$ and is an arrangement of $\Theta(n^2)$ segments, each of which is parallel to an edge of $P$, where $n$ represents the number of edges in $P$. We prove several nontrivial properties of $Nest(P)$, which incorporate two fundamental properties in geometry, namely, convexity and parallelism, and are of independent interests in convex and discrete geometry. We show that the structure $Nest(P)$ captures the essential nature of the maximal area parallelograms, and the original optimization problem can be reduced to answering $O(n)$ location queries on $Nest(P)$. Finally, by solving these queries efficiently, we design nearly linear time algorithm for the original problem. #R##N#We emphasize that the efficiency of our algorithm is outstanding compared with several related works in computational geometry, and the techniques develop in this paper may be useful for solving other related problems. In addition, we believe that the novel structure $Nest(P)$ with its wonderful properties may find more applications in other disciplines.

Connected through hyperedge HE-1 (induced by source paper "largest inscribed rectangles in geometric convex sets"):
  with members:
    - "finding all maximal area parallelograms in a convex polygon"
    - "maximum area triangle in a convex polygon revisited"
    - "maximal area triangles in a convex polygon"
    - "maximal parallelograms in convex polygons a novel geometric structure"
    - "finding largest rectangles in convex polygons"

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)