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: "lecture notes on evasiveness of graph properties"
  Abstract: This report presents notes from the first eight lectures of the class Many Models of Complexity taught by Laszlo Lovasz at Princeton University in the fall of 1990. The topic is evasiveness of graph properties: given a graph property, how many edges of the graph an algorithm must check in the worst case before it knows whether the property holds.

Connected through hyperedge HE-1 (induced by source paper "on the sensitivity complexity of k uniform hypergraph properties"):
  with members:
    - "sensitivity conjecture and log rank conjecture for functions with small alternating numbers"
    - "degree and sensitivity tails of two distributions"
    - "evasiveness and the distribution of prime numbers"
    - "variations on the sensitivity conjecture"
    - "on the sensitivity of cyclically invariant boolean functions"

Connected through hyperedge HE-2 (induced by source paper "new separation between s f and bs f"):
  with members:
    - "variations on the sensitivity conjecture"
    - "sensitivity versus block sensitivity of boolean functions"

Connected through hyperedge HE-3 (induced by source paper "bounds for small error and zero error quantum algorithms"):
  with members:
    - "complexity limitations on quantum computation"

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)