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: "polynomial fixed parameter algorithms a case study for longest path on interval graphs"
  Abstract: We study the design of fixed-parameter algorithms for problems already known to be solvable in polynomial time. The main motivation is to get more efficient algorithms for problems with unattractive polynomial running times. Here, we focus on a fundamental graph problem: Longest Path, that is, given an undirected graph, find a maximum-length path in $G$. Longest Path is NP-hard in general but known to be solvable in $O(n^{4})$ time on $n$-vertex interval graphs. We show how to solve Longest Path on Interval Graphs, parameterized by vertex deletion number $k$ to proper interval graphs, in $O(k^{9}n)$ time. Notably, Longest Path is trivially solvable in linear time on proper interval graphs, and the parameter value $k$ can be approximated up to a factor of 4 in linear time. From a more general perspective, we believe that using parameterized complexity analysis may enable a refined understanding of efficiency aspects for polynomial-time solvable problems similarly to what classical parameterized complexity analysis does for NP-hard problems.

Connected through hyperedge HE-1 (induced by source paper "computing maximum matchings in temporal graphs"):
  with members:
    - "temporal matching"
    - "how fast can we reach a target vertex in stochastic temporal graphs"
    - "fixed parameter algorithms for maximum profit facility location under matroid constraints"
    - "tight competitive ratios of classic matching algorithms in the fully online model"
    - "temporal vertex cover with a sliding time window"
    - "how to match when all vertices arrive online"
    - "sliding window temporal graph coloring"
    - "efficient and adaptive parameterized algorithms on modular decompositions"

Connected through hyperedge HE-2 (induced by source paper "parameterized fine grained reductions"):
  with members:
    - "an equivalence class for orthogonal vectors"
    - "multivariate fine grained complexity of longest common subsequence"
    - "more consequences of falsifying seth and the orthogonal vectors conjecture"
    - "tighter connections between formula sat and shaving logs"
    - "the orthogonal vectors conjecture for branching programs and formulas"
    - "simulating branching programs with edit distance and friends or a polylog shaved is a lower bound made"
    - "approximation and fixed parameter subquadratic algorithms for radius and diameter"
    - "confronting intractability via parameters"

Connected through hyperedge HE-3 (induced by source paper "an adaptive version of brandes algorithm for betweenness centrality"):
  with members:
    - "dynamic merging of frontiers for accelerating the evaluation of betweenness centrality"
    - "a divide and conquer algorithm for betweenness centrality"
    - "betweenness centrality incremental and faster"

Connected through hyperedge HE-4 (induced by source paper "parameterized complexity of diameter"):
  with members:
    - "towards improving brandes algorithm for betweenness centrality"
    - "towards tight approximation bounds for graph diameter and eccentricities"
    - "data reduction for maximum matching on real world graphs theory and experiments"
    - "multivariate analysis of orthogonal range searching and graph distances parameterized by treewidth"
    - "efficient and adaptive parameterized algorithms on modular decompositions"
    - "parameterized aspects of triangle enumeration"
    - "fully polynomial fpt algorithms for some classes of bounded clique width graphs"
    - "voronoi diagrams on planar graphs and computing the diameter in deterministic tilde o n 5 3 time"

Connected through hyperedge HE-5 (induced by source paper "efficient and adaptive parameterized algorithms on modular decompositions"):
  with members:
    - "parameterized aspects of triangle enumeration"
    - "fully polynomial fpt algorithms for some classes of bounded clique width graphs"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "when can graph hyperbolicity be computed in linear time"
    - "the power of data reduction for matching"
    - "data structures for weighted matching and extensions to b matching and f factors"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"

Connected through hyperedge HE-6 (induced by source paper "faster approximation algorithms for computing shortest cycles on weighted graphs"):
  with members:
    - "towards tight approximation bounds for graph diameter and eccentricities"
    - "fully polynomial fpt algorithms for some classes of bounded clique width graphs"
    - "new subquadratic approximation algorithms for the girth"
    - "tight hardness for shortest cycles and paths in sparse graphs"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "approximating cycles in directed graphs fast algorithms for girth and roundtrip spanners"
    - "subtree isomorphism revisited"
    - "approximate distance oracle with constant query time"

Connected through hyperedge HE-7 (induced by source paper "data reduction for maximum matching on real world graphs theory and experiments"):
  with members:
    - "an adaptive version of brandes algorithm for betweenness centrality"
    - "on adaptive algorithms for maximum matching"
    - "wegotyoucovered the winning solver from the pace 2019 implementation challenge vertex cover track"
    - "efficient and adaptive parameterized algorithms on modular decompositions"
    - "fully polynomial fpt algorithms for some classes of bounded clique width graphs"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "fully polynomial time parameterized computations for graphs and matrices of low treewidth"
    - "scaling algorithms for weighted matching in general graphs"

Connected through hyperedge HE-8 (induced by source paper "parameterized aspects of triangle enumeration"):
  with members:
    - "an adaptive version of brandes algorithm for betweenness centrality"
    - "data reduction for maximum matching on real world graphs theory and experiments"
    - "fully polynomial fpt algorithms for some classes of bounded clique width graphs"
    - "kernelization lower bounds for finding constant size subgraphs"
    - "when can graph hyperbolicity be computed in linear time"
    - "fully polynomial time parameterized computations for graphs and matrices of low treewidth"
    - "joins via geometric resolutions worst case and beyond"
    - "dynamic set intersection"

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)