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 "hypergraph isomorphism for groups with restricted composition factors"):
  Abstract: We consider the isomorphism problem for hypergraphs taking as input two hypergraphs over the same set of vertices $V$ and a permutation group $\Gamma$ over domain $V$, and asking whether there is a permutation $\gamma \in \Gamma$ that proves the two hypergraphs to be isomorphic. We show that for input groups, all of whose composition factors are isomorphic to a subgroup of the symmetric group on $d$ points, this problem can be solved in time $(n+m)^{O((\log d)^{c})}$ for some absolute constant $c$ where $n$ denotes the number of vertices and $m$ the number of hyperedges. In particular, this gives the currently fastest isomorphism test for hypergraphs in general. The previous best algorithm for this problem due to Schweitzer and Wiebking (STOC 2019) runs in time $n^{O(d)}m^{O(1)}$. #R##N#As an application of this result, we obtain, for example, an algorithm testing isomorphism of graphs excluding $K_{3,h}$ ($h \geq 3$) as a minor in time $n^{O((\log h)^{c})}$. In particular, this gives an isomorphism test for graphs of Euler genus at most $g$ running in time $n^{O((\log g)^{c})}$.

Includes members:
  Member "graph isomorphism in quasipolynomial time parameterized by treewidth":
    also connected through other hyperedges:
      (none)
  Member "an improved isomorphism test for bounded tree width graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "computing the frechet distance of trees and graphs of bounded tree width")
  Member "a faster isomorphism test for graphs of small degree":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "graph isomorphism in quasipolynomial time parameterized by treewidth")
  Member "a unifying method for the design of algorithms canonizing combinatorial objects":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "graph isomorphism in quasipolynomial time parameterized by treewidth")
  Member "graph isomorphism for unit square graphs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the power of the weisfeiler leman algorithm to decompose graphs")
  Member "graph isomorphism in quasipolynomial time":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "universal function approximation on graphs using multivalued functions")
  Member "graph isomorphism for bounded genus graphs in linear time":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "graph isomorphism in quasipolynomial time parameterized by treewidth")
  Member "tight lower and upper bounds for the complexity of canonical colour refinement":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "towards a practical k dimensional weisfeiler leman algorithm")

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)