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: "lower bounds for the parameterized complexity of minimum fill in and other completion problems"
  Abstract: In this work, we focus on several completion problems for subclasses of chordal graphs: Minimum Fill-In, Interval Completion, Proper Interval Completion, Threshold Completion, and Trivially Perfect Completion. In these problems, the task is to add at most k edges to a given graph in order to obtain a chordal, interval, proper interval, threshold, or trivially perfect graph, respectively. We prove the following lower bounds for all these problems, as well as for the related Chain Completion problem: Assuming the Exponential Time Hypothesis, none of these problems can be solved in time 2^O(n^(1/2) / log^c n) or 2^O(k^(1/4) / log^c k) n^O(1), for some integer c. Assuming the non-existence of a subexponential-time approximation scheme for Min Bisection on d-regular graphs, for some constant d, none of these problems can be solved in time 2^o(n) or 2^o(sqrt(k)) n^O(1). #R##N#For all the aforementioned completion problems, apart from Proper Interval Completion, FPT algorithms with running time of the form 2^O(sqrt(k) log k) n^O(1) are known. Thus, the second result proves that a significant improvement of any of these algorithms would lead to a surprising breakthrough in the design of approximation algorithms for Min Bisection. #R##N#To prove our results, we use a reduction methodology based on combining the classic approach of starting with a sparse instance of 3-Sat, prepared using the Sparsification Lemma, with the existence of almost linear-size Probabilistically Checkable Proofs (PCPs). Apart from our main results, we also obtain lower bounds excluding the existence of subexponential algorithms for the Optimum Linear Arrangement problem, as well as improved, yet still not tight, lower bounds for Feedback Arc Set in Tournaments.

Connected through hyperedge HE-1 (induced by source paper "a fast minimum degree algorithm and matching lower bound"):
  with members:
    - "graph sketching against adaptive adversaries applied to the minimum degree algorithm"
    - "minimum fill in inapproximability and almost tight lower bounds"
    - "subexponential parameterized algorithm for minimum fill in"

Connected through hyperedge HE-2 (induced by source paper "exploring the complexity of layout parameters in tournaments and semi complete digraphs"):
  with members:
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "cutwidth obstructions and algorithmic aspects"
    - "subexponential parameterized algorithm for computing the cutwidth of a semi complete digraph"
    - "a polynomial kernel for proper interval vertex deletion"
    - "computing cutwidth and pathwidth of semi complete digraphs via degree orderings"
    - "faster fast feedback arc set in tournaments"

Connected through hyperedge HE-3 (induced by source paper "algorithms for automatic ranking of participants and tasks in an anonymized contest"):
  with members:
    - "minimum fill in inapproximability and almost tight lower bounds"
    - "on the threshold of intractability"
    - "a survey on truth discovery"
    - "chordal editing is fixed parameter tractable"
    - "subexponential parameterized algorithm for minimum fill in"
    - "data conflict resolution using trust mappings"

Connected through hyperedge HE-4 (induced by source paper "hardness of approximation for h free edge modification problems"):
  with members:
    - "polynomial kernelization for removing induced claws and diamonds"
    - "parameterized lower bound and np completeness of some h free edge deletion problems"

Connected through hyperedge HE-5 (induced by source paper "known algorithms on graphs of bounded treewidth are probably optimal"):
  with members:
    - "fine grained parameterized complexity analysis of graph coloring problems"
    - "on problems as hard as cnf sat"
    - "optimal dynamic program for r domination problems over tree decompositions"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "parameterized approximation schemes using graph widths"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "known algorithms for edge clique cover are probably optimal"

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)