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 "supernova a novel algorithm for graph automorphism calculations"):
  Abstract: The graph isomorphism problem is of practical importance, as well as being a theoretical curiosityin computational complexity theory in that it is not known whether it is NP-complete or P.However, for many graphs, the problem is tractable, and related to the problem of ﬁnding theautomorphism group of the graph. Perhaps the most well known state-of-the art implementationfor ﬁnding the automorphism group is Nauty. However, Nauty is particularly susceptible to poorperformance on star conﬁgurations, where the spokes of the star are isomorphic with each other.In this work, I present an algorithm that explodes these star conﬁgurations, reducing the problemto a sequence of simpler automorphism group calculations.Categories and Subject Descriptors: F.2.2 [Analysis of Algorithms and Problem Com-plexity]: Nonnumerical Algorithms and Problems—Computations on Discrete Structures; G.2.2[Discrete Mathematics]: Graph Theory—Graph AlgorithmsGeneral Terms: Algorithms, PerformanceAdditional Key Words and Phrases: graph automorphism, Nauty, star-like graphs, computationalcomplexity

Includes members:
  Member "complexity of networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks")
  Member "ecolab agent based modeling for c programmers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a survey on agent based simulation using hardware accelerators")

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)