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: "complexity classes of equivalence problems revisited"
  Abstract: To determine if two lists of numbers are the same set, we sort both lists and see if we get the same result. The sorted list is a canonical form for the equivalence relation of set equality. Other canonical forms arise in graph isomorphism algorithms. To determine if two graphs are cospectral (have the same eigenvalues), we compute their characteristic polynomials and see if they are equal; the characteristic polynomial is a complete invariant for cospectrality. Finally, an equivalence relation may be decidable in P without either a complete invariant or canonical form. Blass and Gurevich (1984) asked whether these conditions on equivalence relations-having an FP canonical form, having an FP complete invariant, and being in P-are distinct. They showed that this question requires non-relativizing techniques to resolve. We extend their results, and give new connections to probabilistic and quantum computation.

Connected through hyperedge HE-1 (induced by source paper "isomorphism problems for tensors groups and cubic forms completeness and reductions"):
  with members:
    - "general linear group action on tensors a candidate for post quantum cryptography"
    - "incorporating weisfeiler leman into algorithms for group isomorphism"
    - "algorithms based on algebras and their applications to isomorphism of polynomials with one secret group isomorphism and polynomial identity testing"
    - "graph isomorphism in quasipolynomial time"
    - "bidirectional collision detection and faster deterministic isomorphism testing"
    - "algorithms for group isomorphism via group extensions and cohomology"
    - "practical graph isomorphism ii"
    - "breaking the n log n barrier for solvable group isomorphism"

Connected through hyperedge HE-2 (induced by source paper "minimum circuit size graph isomorphism and related problems"):
  with members:
    - "graph isomorphism and circuit size"
    - "graph isomorphism in quasipolynomial time"
    - "on polynomial time kernel reductions"

Connected through hyperedge HE-3 (induced by source paper "algorithms for group isomorphism via group extensions and cohomology"):
  with members:
    - "bidirectional collision detection and faster deterministic isomorphism testing"
    - "lie algebra conjugacy"
    - "deterministic polynomial time algorithms for matrix completion problems"
    - "efficient isomorphism testing for a class of group extensions"

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.CC(Computational Complexity)