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: "practical graph isomorphism ii"
  Abstract: We report the current state of the graph isomorphism problem from the practical point of view. After describing the general principles of the refinement-individualization paradigm and proving its validity, we explain how it is implemented in several of the key programs. In particular, we bring the description of the best known program nauty up to date and describe an innovative approach called Traces that outperforms the competitors for many difficult graph classes. Detailed comparisons against saucy, Bliss and conauto are presented.

Connected through hyperedge HE-1 (induced by source paper "hypergraph isomorphism for groups with restricted composition factors"):
  with members:
    - "graph isomorphism in quasipolynomial time parameterized by treewidth"
    - "an improved isomorphism test for bounded tree width graphs"
    - "a faster isomorphism test for graphs of small degree"
    - "a unifying method for the design of algorithms canonizing combinatorial objects"
    - "graph isomorphism for unit square graphs"
    - "graph isomorphism in quasipolynomial time"
    - "graph isomorphism for bounded genus graphs in linear time"
    - "tight lower and upper bounds for the complexity of canonical colour refinement"

Connected through hyperedge HE-2 (induced by source paper "nonexistence certificates for ovals in a projective plane of order ten"):
  with members:
    - "applying computer algebra systems with sat solvers to the williamson conjecture"
    - "trimming graphs using clausal proof optimization"
    - "sat solvers and computer algebra systems a powerful combination for mathematics"
    - "the sat cas method for combinatorial search with applications to best matrices"
    - "a nonexistence certificate for projective planes of order ten with weight 15 codewords"
    - "complex golay pairs up to length 28 a search via computer algebra and programmatic sat"
    - "schur number five"
    - "solving and verifying the boolean pythagorean triples problem via cube and conquer"

Connected through hyperedge HE-3 (induced by source paper "learning fine grained search space pruning and heuristics for combinatorial optimization"):
  with members:
    - "learning multi stage sparsification for maximum clique enumeration"
    - "fine grained search space classification for hard enumeration variants of subset problems"
    - "learning heuristics over large graphs via deep reinforcement learning"
    - "learning combinatorial optimization algorithms over graphs"
    - "neural combinatorial optimization with reinforcement learning"
    - "fast algorithms for the maximum clique problem on massive graphs with applications to overlapping community detection"
    - "scalability of using restricted boltzmann machines for combinatorial optimization"

Connected through hyperedge HE-4 (induced by source paper "a survey on subgraph counting concepts algorithms and applications to network motifs and graphlets"):
  with members:
    - "heterogeneous network motifs"
    - "variational principle for scale free network motifs"
    - "the sketching complexity of graph and hypergraph counting"
    - "motifs in temporal networks"
    - "large scale network motif learning with compression"
    - "butterfly counting in bipartite networks"
    - "estimation of graphlet statistics"
    - "combinatorial algorithm for counting small induced graphs and orbits"

Connected through hyperedge HE-5 (induced by source paper "coloring graph neural networks for node disambiguation"):
  with members:
    - "on the universality of invariant networks"
    - "provably powerful graph networks"
    - "on the equivalence between graph isomorphism testing and function approximation with gnns"
    - "relational pooling for graph representations"
    - "hierarchical graph representation learning with differentiable pooling"
    - "deep sets"
    - "invariant and equivariant graph networks"
    - "how powerful are graph neural networks"

Connected through hyperedge HE-6 (induced by source paper "understanding isomorphism bias in graph data sets"):
  with members:
    - "semantic redundancies in image classification datasets the 10 you don t need"
    - "do we train on test data purging cifar of near duplicates"
    - "a survey on graph kernels"
    - "gnn explainer a tool for post hoc explanation of graph neural networks"
    - "do imagenet classifiers generalize to imagenet"
    - "fast graph representation learning with pytorch geometric"
    - "provably powerful graph networks"
    - "stability and generalization of graph convolutional neural networks"

Connected through hyperedge HE-7 (induced by source paper "a linear upper bound on the weisfeiler leman dimension of graphs of bounded genus"):
  with members:
    - "canonisation and definability for graphs of bounded rank width"
    - "a finite model theoretic view on propositional proof complexity"
    - "weisfeiler and leman go neural higher order graph neural networks"
    - "definable ellipsoid method sums of squares proofs and the isomorphism problem"
    - "the weisfeiler leman dimension of planar graphs is at most 3"
    - "on the combinatorial power of the weisfeiler lehman algorithm"
    - "semi supervised classification with graph convolutional networks"
    - "upper bounds on the quantifier depth for graph differentiation in first order logic"

Connected through hyperedge HE-8 (induced by source paper "general linear group action on tensors a candidate for post quantum cryptography"):
  with members:
    - "isomorphism problems for tensors groups and cubic forms completeness and reductions"
    - "operator scaling via geodesically convex optimization invariant theory and polynomial identity testing"
    - "efficient algorithms for tensor scaling quantum marginals and moment polytopes"
    - "alternating minimization scaling algorithms and the null cone problem from invariant theory"
    - "algorithms based on algebras and their applications to isomorphism of polynomials with one secret group isomorphism and polynomial identity testing"
    - "constructive noncommutative rank computation is in deterministic polynomial time"
    - "solving the isomorphism of polynomials with two secrets problem for all pairs of quadratic forms"
    - "polynomial time algorithms for quadratic isomorphism of polynomials the regular case"

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.DM(Discrete Mathematics)