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: "partitioning a graph into disjoint cliques and a triangle free graph"
  Abstract: A graph $G = (V, E)$ is \emph{partitionable} if there exists a partition $\{A, B\}$ of $V$ such that $A$ induces a disjoint union of cliques and $B$ induces a triangle-free graph. In this paper we investigate the computational complexity of deciding whether a graph is partitionable. The problem is known to be $\NP$-complete on arbitrary graphs. Here it is proved that if a graph $G$ is bull-free, planar, perfect, $K_4$-free or does not contain certain holes then deciding whether $G$ is partitionable is $\NP$-complete. This answers an open question posed by Thomass{\'e}, Trotignon and Vu\v{s}kovi{\'c}. In contrast a finite list of forbidden induced subgraphs is given for partitionable cographs.

Connected through hyperedge HE-1 (induced by source paper "solving partition problems almost always requires pushing many vertices around"):
  with members:
    - "recognition of unipolar and generalised split graphs"
    - "a polynomial kernel for proper interval vertex deletion"
    - "algorithms for unipolar and generalized split graphs"

Connected through hyperedge HE-2 (induced by source paper "the complexity of partitioning into disjoint cliques and a triangle free graph"):
  with members:
    - "a polynomial turing kernel for weighted independent set in bull free graphs"

Connected through hyperedge HE-3 (induced by source paper "improved fpt algorithms for weighted independent set in bull free graphs"):
  with members:
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "the complexity of partitioning into disjoint cliques and a triangle free graph"
    - "np hardness results for partitioning graphs into disjoint cliques and a triangle free subgraph"
    - "on the subexponential time complexity of csp"
    - "dominating set is fixed parameter tractable in claw free graphs"
    - "domination when the stars are out"

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)