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 "inapproximability of h transversal packing"):
  Abstract: Given an undirected graph $G = (V_G, E_G)$ and a fixed "pattern" graph $H = (V_H, E_H)$ with $k$ vertices, we consider the $H$-Transversal and $H$-Packing problems. The former asks to find the smallest $S \subseteq V_G$ such that the subgraph induced by $V_G \setminus S$ does not have $H$ as a subgraph, and the latter asks to find the maximum number of pairwise disjoint $k$-subsets $S_1, ..., S_m \subseteq V_G$ such that the subgraph induced by each $S_i$ has $H$ as a subgraph. #R##N#We prove that if $H$ is 2-connected, $H$-Transversal and $H$-Packing are almost as hard to approximate as general $k$-Hypergraph Vertex Cover and $k$-Set Packing, so it is NP-hard to approximate them within a factor of $\Omega (k)$ and $\widetilde \Omega (k)$ respectively. We also show that there is a 1-connected $H$ where $H$-Transversal admits an $O(\log k)$-approximation algorithm, so that the connectivity requirement cannot be relaxed from 2 to 1. For a special case of $H$-Transversal where $H$ is a (family of) cycles, we mention the implication of our result to the related Feedback Vertex Set problem, and give a different hardness proof for directed graphs.

Includes members:
  Member "pre reduction graph products hardnesses of properly learning dfas and approximating edp on dags":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "generalization bounds for weighted automata")
  Member "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "subgraph isomorphism on graph classes that exclude a substructure")
  Member "improved approximation for 3 dimensional matching via bounded pathwidth local search":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "approximate multi matroid intersection via iterative refinement")
  Member "packing interval graphs with vertex disjoint triangles":
    also connected through other hyperedges:
      (none)
  Member "hardness of vertex deletion and project scheduling":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "parameterized algorithms for generalizations of directed feedback vertex set")
  Member "directed subset feedback vertex set is fixed parameter tractable":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "hitting long directed cycles is fixed parameter tractable")
  Member "subset feedback vertex set is fixed parameter tractable":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the computational complexity of finding temporal paths under waiting time constraints")
  Member "a new multilayered pcp and the hardness of hypergraph vertex cover":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an improved algorithm for dynamic set cover")

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.CC(Computational Complexity)