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: "surface split decompositions and subgraph isomorphism in graphs on surfaces"
  Abstract: The Subgraph Isomorphism problem asks, given a host graph G on n vertices and a pattern graph P on k vertices, whether G contains a subgraph isomorphic to P. The restriction of this problem to planar graphs has often been considered. After a sequence of improvements, the current best algorithm for planar graphs is a linear time algorithm by Dorn (STACS '10), with complexity $2^{O(k)} O(n)$. #R##N#We generalize this result, by giving an algorithm of the same complexity for graphs that can be embedded in surfaces of bounded genus. At the same time, we simplify the algorithm and analysis. The key to these improvements is the introduction of surface split decompositions for bounded genus graphs, which generalize sphere cut decompositions for planar graphs. We extend the algorithm for the problem of counting and generating all subgraphs isomorphic to P, even for the case where P is disconnected. This answers an open question by Eppstein (SODA '95 / JGAA '99).

Connected through hyperedge HE-1 (induced by source paper "subgraph isomorphism on graph classes that exclude a substructure"):
  with members:
    - "tight lower bounds on graph embedding problems"
    - "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "everything you always wanted to know about the parameterized complexity of subgraph isomorphism but were afraid to ask"
    - "planar subgraph isomorphism revisited"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-2 (induced by source paper "computational topology of graphs on surfaces"):
  with members:
    - "untangling planar curves"
    - "shortest path embeddings of graphs on surfaces"
    - "a direct proof of the strong hanani tutte theorem on the projective plane"
    - "minimum cycle and homology bases of surface embedded graphs"
    - "crossing number is hard for kernelization"
    - "computing the geometric intersection number of curves"
    - "how to walk your dog in the mountains with no magic leash"
    - "beyond the euler characteristic approximating the genus of general graphs"

Connected through hyperedge HE-3 (induced by source paper "a fixed parameter tractable approximation scheme for the optimal cut graph of a surface"):
  with members:
    - "network sparsification for steiner problems on planar and bounded genus graphs"
    - "dynamic programming for graphs on surfaces"
    - "tree width of hypergraphs and surface duality"
    - "polynomial time approximation schemes for subset connectivity problems in bounded genus graphs"
    - "optimally cutting a surface into a disk"

Connected through hyperedge HE-4 (induced by source paper "the role of planarity in connectivity problems parameterized by treewidth"):
  with members:
    - "slightly superexponential parameterized problems"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "solving weighted and counting variants of connectivity problems parameterized by treewidth deterministically in single exponential time"
    - "dynamic programming for graphs on surfaces"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "problems parameterized by treewidth tractable in single exponential time a logical approach"
    - "known algorithms on graphs of bounded treewidth are probably optimal"
    - "planar subgraph isomorphism revisited"

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)