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: "the constant inapproximability of the parameterized dominating set problem"
  Abstract: We prove that there is no fpt-algorithm that can approximate the dominating set problem with any constant ratio, unless FPT= W[1]. Our hardness reduction is built on the second author's recent W[1]-hardness proof of the biclique problem. This yields, among other things, a proof without the PCP machinery that the classical dominating set problem has no polynomial time constant approximation under the exponential time hypothesis.

Connected through hyperedge HE-1 (induced by source paper "trapping problem on star type graphs with applications"):
  with members:
    - "on the structure and computation of random walk times in finite graphs"
    - "a vertex similarity index for better personalized recommendation"
    - "faster algorithms for computing the stationary distribution simulating random walks and more"
    - "reliability and survivability analysis of data center network topologies"
    - "convolutional random walk networks for semantic image segmentation"
    - "planar graphs random walks and bipartiteness testing"
    - "estimating a random walk first passage time from noisy or delayed observations"

Connected through hyperedge HE-2 (induced by source paper "tight running time lower bounds for strong inapproximability of maximum k coverage unique set cover and related problems via t wise agreement testing theorem"):
  with members:
    - "a simple gap producing reduction for the parameterized set cover problem"
    - "parameterized intractability of even set and shortest vector problem"
    - "parameterized inapproximability of exact cover and nearest codeword"
    - "tight fpt approximations for k median and k means"
    - "agreement testing theorems on layered set systems"
    - "towards a general direct product testing theorem"
    - "gap s eth hardness of svp"
    - "eth hardness of approximating 2 csps and directed steiner network"

Connected through hyperedge HE-3 (induced by source paper "parameterized approximation schemes for independent set of rectangles and geometric knapsack"):
  with members:
    - "approximating geometric knapsack via l packings"
    - "on approximating maximum independent set of rectangles"
    - "fixed parameter approximations for k center problems in low highway dimension graphs"
    - "lower bounds for approximation schemes for closest string"
    - "a fixed parameter tractable approximation scheme for the optimal cut graph of a surface"
    - "parameterized approximability of maximizing the spread of influence in networks"
    - "parameterized approximation schemes using graph widths"
    - "approximation schemes for maximum weight independent set of rectangles"

Connected through hyperedge HE-4 (induced by source paper "tight fpt approximations for k median and k means"):
  with members:
    - "turning big data into tiny data constant size coresets for k means pca and projective clustering"
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "improved and simplified inapproximability for k means"
    - "the hardness of approximation of euclidean k means"
    - "an improved approximation for k median and positive correlation in budgeted optimization"
    - "the parameterized complexity of k biclique"
    - "approximating k median via pseudo approximation"
    - "a unified framework for approximating and clustering data"

Connected through hyperedge HE-5 (induced by source paper "approximation and hardness of shift bribery"):
  with members:
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "almost polynomial ratio eth hardness of approximating densest k subgraph"
    - "a birthday repetition theorem and complexity of approximating dense csps"
    - "prices matter for the parameterized complexity of shift bribery"
    - "campaign management under approval driven voting rules"
    - "the complexity of probabilistic lobbying"
    - "how hard is bribery in elections"

Connected through hyperedge HE-6 (induced by source paper "a simple gap producing reduction for the parameterized set cover problem"):
  with members:
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "distributed pcp theorems for hardness of approximation in p"
    - "the parameterized complexity of k biclique"
    - "losing weight by gaining edges"
    - "exact weight subgraphs and the k sum conjecture"
    - "analytical approach to parallel repetition"

Connected through hyperedge HE-7 (induced by source paper "automating resolution is np hard"):
  with members:
    - "resolution lower bounds for refutation statements"
    - "narrow proofs may be maximally long"

Connected through hyperedge HE-8 (induced by source paper "eth hardness of approximating 2 csps and directed steiner network"):
  with members:
    - "hardness of approximate nearest neighbor search"
    - "on the hardness of approximate and exact bichromatic maximum inner product"
    - "improved approximation algorithms for projection games"
    - "distributed pcp theorems for hardness of approximation in p"
    - "detecting communities is hard and counting them is even harder"
    - "settling the complexity of computing approximate two player nash equilibria"
    - "approximating spanners and directed steiner forest upper and lower bounds"
    - "approximation of non boolean 2csp"

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)