human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "drawing large graphs by multilevel maxent stress optimization"):
  Abstract: Drawing large graphs appropriately is an important step for the visual analysis of data from real-world networks. Here we present a novel multilevel algorithm to compute a graph layout with respect to a recently proposed metric that combines layout stress and entropy. As opposed to previous work, we do not solve the linear systems of the maxent-stress metric with a typical numerical solver. Instead we use a simple local iterative scheme within a multilevel approach. To accelerate local optimization, we approximate long-range forces and use shared-memory parallelism. Our experiments validate the high potential of our approach, which is particularly appealing for dynamic graphs. In comparison to the previously best maxent-stress optimizer, which is sequential, our parallel implementation is on average 30 times faster already for static graphs (and still faster if executed on one thread) while producing a comparable solution quality.

Includes members:
  Member "estimating current flow closeness centrality with a multigrid laplacian solver":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "current flow group closeness centrality for complex networks")
  Member "a distributed multilevel force directed algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "batchlayout a batch parallel force directed graph layout algorithm in shared memory")
  Member "a sparse stress model":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a quality metric for visualization of clusters in graphs")
  Member "is nearly linear the same in theory and practice a case study with a combinatorial laplacian solver":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an empirical study of cycle toggling based laplacian solvers")
  Member "partitioning complex networks via size constrained clustering":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "scalable graph algorithms")
  Member "coast a convex optimization approach to stress based embedding":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "inceptiongcn receptive field aware graph convolutional network for disease prediction")
  Member "engineering a scalable high quality graph partitioner":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "recent advances in scalable network generation")

Question: Please tell me which class the source paper 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)