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 parameterised complexity of counting connected subgraphs and graph motifs"
  Abstract: We introduce a class of parameterised counting problems on graphs, p-#Induced Subgraph With Property(\Phi), which generalises a number of problems which have previously been studied. This paper focusses on the case in which \Phi defines a family of graphs whose edge-minimal elements all have bounded treewidth; this includes the special case in which \Phi describes the property of being connected. We show that exactly counting the number of connected induced k-vertex subgraphs in an n-vertex graph is #W[1]-hard, but on the other hand there exists an FPTRAS for the problem; more generally, we show that there exists an FPTRAS for p-#Induced Subgraph With Property(\Phi) whenever \Phi is monotone and all the minimal graphs satisfying \Phi have bounded treewidth. We then apply these results to a counting version of the Graph Motif problem.

Connected through hyperedge HE-1 (induced by source paper "two dichotomies for model checking in multi layer structures"):
  with members:
    - "multi budgeted directed cuts"
    - "first order query evaluation with cardinality conditions"
    - "deleting edges to restrict the size of an epidemic a new application for treewidth"

Connected through hyperedge HE-2 (induced by source paper "approximately counting and sampling small witnesses using a colourful decision oracle"):
  with members:
    - "counting answers to existential questions"
    - "zeros of holant problems locations and algorithms"
    - "more consequences of falsifying seth and the orthogonal vectors conjecture"
    - "fine grained reductions from approximate counting to decision"
    - "near optimal linear decision trees for k sum and related problems"
    - "edge estimation with independent set oracles"
    - "the hardness of embedding grids and walls"
    - "randomised enumeration of small witnesses using a decision oracle"

Connected through hyperedge HE-3 (induced by source paper "counting induced subgraphs an algebraic approach to w 1 hardness"):
  with members:
    - "counting induced subgraphs a topological approach to w 1 hardness"
    - "homomorphisms are a good basis for counting small subgraphs"
    - "counting answers to existential positive queries a complexity classification"
    - "the challenges of unbounded treewidth in parameterised subgraph counting problems"
    - "some hard families of parameterised counting problems"

Connected through hyperedge HE-4 (induced by source paper "counting induced subgraphs a topological approach to w 1 hardness"):
  with members:
    - "homomorphisms are a good basis for counting small subgraphs"
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "the challenges of unbounded treewidth in parameterised subgraph counting problems"

Connected through hyperedge HE-5 (induced by source paper "homomorphisms are a good basis for counting small subgraphs"):
  with members:
    - "the hardness of embedding grids and walls"
    - "parameterized counting of trees forests and matroid bases"
    - "if the current clique algorithms are optimal so is valiant s parser"
    - "exponential time complexity of the permanent and the tutte polynomial"
    - "powers of tensors and fast matrix multiplication"
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
    - "the parameterized complexity of k biclique"

Connected through hyperedge HE-6 (induced by source paper "counting small subgraphs in multi layer networks"):
  with members:
    - "homomorphisms are a good basis for counting small subgraphs"
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "the challenges of unbounded treewidth in parameterised subgraph counting problems"
    - "balanced families of perfect hash functions and their applications"

Connected through hyperedge HE-7 (induced by source paper "randomised enumeration of small witnesses using a decision oracle"):
  with members:
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "the challenges of unbounded treewidth in parameterised subgraph counting problems"
    - "paradigms for parameterized enumeration"
    - "narrow sieves for parameterized paths and packings"

Connected through hyperedge HE-8 (induced by source paper "the challenges of unbounded treewidth in parameterised subgraph counting problems"):
  with members:
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "the parameterized complexity of k biclique"
    - "parameterized analogues of probabilistic computation"
    - "finding and counting vertex colored subtrees"
    - "the fine classification of conjunctive queries and parameterized logarithmic space complexity"
    - "efficient triangle counting in large graphs via degree based vertex partitioning"
    - "counting paths and packings in halves"
    - "balanced families of perfect hash functions and their applications"

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)