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: "on the computational complexity of length and neighborhood constrained path problems"
  Abstract: Finding paths in graphs is a fundamental graph-theoretic task. In this work, we study the task of finding a path with some constraints on its length and the number of vertices neighboring the path, that is, being outside of and incident with the path. Herein, we consider short and long path on the one side, and small and large neighborhoods on the other side---yielding four decision problems. We show that all four problems are NP-complete, even in planar graphs with small maximum degree. Moreover, we study all four variant when parameterized by the bound $k$ on the length of the path, by the bound $\ell$ on the size of neighborhood, and by $k+\ell$.

Connected through hyperedge HE-1 (induced by source paper "parameterized algorithms and data reduction for the short secluded s t path problem"):
  with members:
    - "the parameterized complexity of finding secluded solutions to some classical optimization problems on graphs"
    - "a parameterized approximation algorithm for the mixed and windy capacitated arc routing problem theory and experiments"
    - "finding connected secluded subgraphs"
    - "polynomial kernels for weighted problems"
    - "parameterized complexity of secluded connectivity problems"
    - "route planning in transportation networks"
    - "parameterized complexity of the k arc chinese postman problem"
    - "parameterized complexity of k chinese postman problem"

Connected through hyperedge HE-2 (induced by source paper "geometric secluded paths and planar satisfiability"):
  with members:
    - "an efficient algorithm for computing high quality paths amid polygonal obstacles"
    - "on the complexity of minimum link path problems"
    - "quickest visibility queries in polygonal domains"
    - "planar 3 sat with a clause variable cycle"
    - "a polynomial time algorithm for finding an approximate shortest path amid weighted regions"
    - "parameterized complexity of secluded connectivity problems"
    - "a note on the unsolvability of the weighted region shortest path problem"
    - "minimum link paths 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.CC(Computational Complexity)