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: "why philosophers should care about computational complexity"
  Abstract: One might think that, once we know something is computable, how efficiently it can be computed is a practical question with little further philosophical importance. In this essay, I offer a detailed case that one would be wrong. In particular, I argue that computational complexity theory---the field that studies the resources (such as time, space, and randomness) needed to solve computational problems---leads to new perspectives on the nature of mathematical knowledge, the strong AI debate, computationalism, the problem of logical omniscience, Hume's problem of induction, Goodman's grue riddle, the foundations of quantum mechanics, economic rationality, closed timelike curves, and several other topics of philosophical interest. I end by discussing aspects of complexity theory itself that could benefit from philosophical analysis.

Connected through hyperedge HE-1 (induced by source paper "optimization problems with low swap tactical computing"):
  with members:
    - "the p versus np problem"

Connected through hyperedge HE-2 (induced by source paper "on inductive abilities of latent factor models for relational learning"):
  with members:
    - "knowledge base completion with out of knowledge base entities a graph neural network approach"
    - "on the equivalence of holographic and complex embeddings for link prediction"
    - "knowledge graph completion via complex tensor factorization"
    - "complex and holographic embeddings of knowledge graphs a comparison"
    - "adversarial sets for regularising neural link predictors"
    - "generalizing to unseen entities and entity pairs with row less universal schema"
    - "basic reasoning with tensor product representations"
    - "complex embeddings for simple link prediction"

Connected through hyperedge HE-3 (induced by source paper "computability and complexity of unconventional computing devices"):
  with members:
    - "a software methodology for compiling quantum programs"
    - "a survey and discussion of memcomputing machines"
    - "polynomial time solution of prime factorization and np complete problems with digital memcomputing machines"
    - "convolutional networks for fast energy efficient neuromorphic computing"
    - "when does a physical system compute"
    - "classic nintendo games are computationally hard"
    - "measuring intelligence through games"
    - "zeno machines and hypercomputation"

Connected through hyperedge HE-4 (induced by source paper "a formal approach to the problem of logical non omniscience"):
  with members:
    - "probabilities on sentences in an expressive logic"

Connected through hyperedge HE-5 (induced by source paper "analysis of algorithms and partial algorithms"):
  with members:
    - "asymptotic logical uncertainty and the benford test"
    - "probabilities on sentences in an expressive logic"

Connected through hyperedge HE-6 (induced by source paper "the information theoretic and algorithmic approach to human animal and artificial cognition"):
  with members:
    - "algorithmic complexity for short binary strings applied to psychology a primer"
    - "algorithmic complexity for psychology a user friendly implementation of the coding theorem method"
    - "natural scene statistics mediate the perception of image complexity"
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "is consciousness computable quantifying integrated information using algorithmic information theory"
    - "what is nature like computation a behavioural approach and a notion of programmability"
    - "calculating kolmogorov complexity from the output frequency distributions of small turing machines"
    - "algorithmic simplicity and relevance"

Connected through hyperedge HE-7 (induced by source paper "what is np interpretation of a chinese paradox white horse is not horse"):
  with members:
    - "what is cook s theorem"
    - "the p versus np problem"

Connected through hyperedge HE-8 (induced by source paper "efficiency theory a unifying theory for information computation and intelligence"):
  with members:
    - "construction of an np problem with an exponential lower bound"
    - "the p versus np problem"
    - "universal intelligence a definition of machine intelligence"

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)