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: "approximation and fixed parameter subquadratic algorithms for radius and diameter"
  Abstract: The radius and diameter are fundamental graph parameters. They are defined as the minimum and maximum of the eccentricities in a graph, respectively, where the eccentricity of a vertex is the largest distance from the vertex to another node. In directed graphs, there are several versions of these problems. For instance, one may choose to define the eccentricity of a node in terms of the largest distance into the node, out of the node, the sum of the two directions (i.e. roundtrip) and so on. All versions of diameter and radius can be solved via solving all-pairs shortest paths (APSP), followed by a fast postprocessing step. Solving APSP, however, on $n$-node graphs requires $\Omega(n^2)$ time even in sparse graphs, as one needs to output $n^2$ distances. #R##N#Motivated by known and new negative results on the impossibility of computing these measures exactly in general graphs in truly subquadratic time, under plausible assumptions, we search for \emph{approximation} and \emph{fixed parameter subquadratic} algorithms, and for reasons why they do not exist. #R##N#Our results include: - Truly subquadratic approximation algorithms for most of the versions of Diameter and Radius with \emph{optimal} approximation guarantees (given truly subquadratic time), under plausible assumptions. In particular, there is a $2$-approximation algorithm for directed Radius with one-way distances that runs in $\tilde{O}(m\sqrt{n})$ time, while a $(2-\delta)$-approximation algorithm in $O(n^{2-\epsilon})$ time is unlikely. - On graphs with treewidth $k$, we can solve the problems in $2^{O(k\log{k})}n^{1+o(1)}$ time. We show that these algorithms are near optimal since even a $(3/2-\delta)$-approximation algorithm that runs in time $2^{o(k)}n^{2-\epsilon}$ would refute the plausible assumptions.

Connected through hyperedge HE-1 (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"
    - "polynomial fixed parameter algorithms a case study for longest path on interval graphs"
    - "confronting intractability via parameters"

Connected through hyperedge HE-2 (induced by source paper "multivariate fine grained complexity of longest common subsequence"):
  with members:
    - "faster str ic lcs computation via rle"
    - "a dichotomy for regular expression membership testing"
    - "which regular expression patterns are hard to match"
    - "simulating branching programs with edit distance and friends or a polylog shaved is a lower bound made"
    - "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"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"

Connected through hyperedge HE-3 (induced by source paper "computing top k closeness centrality faster in unweighted graphs"):
  with members:
    - "a note on the complexity of computing the number of reachable vertices in a digraph"
    - "fast and simple computation of top k closeness centralities"
    - "average distance queries through weighted samples in graphs and metric spaces high scalability with tight statistical guarantees"
    - "powers of tensors and fast matrix multiplication"
    - "networkit an interactive tool suite for high performance network analysis"
    - "networkit a tool suite for large scale complex network analysis"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "into the square on the complexity of quadratic time solvable problems"

Connected through hyperedge HE-4 (induced by source paper "an axiomatic and an average case analysis of algorithms and heuristics for metric properties of graphs"):
  with members:
    - "computing top k closeness centrality faster in unweighted graphs"
    - "kadabra is an adaptive algorithm for betweenness via random approximation"
    - "snap a general purpose network analysis and graph mining library"
    - "fast and simple computation of top k closeness centralities"
    - "algorithmic complexity of power law networks"
    - "networkit an interactive tool suite for high performance network analysis"
    - "into the square on the complexity of quadratic time solvable problems"
    - "fast exact shortest path distance queries on large networks by pruned landmark labeling"

Connected through hyperedge HE-5 (induced by source paper "model and objective separation with conditional lower bounds disjunction is harder than conjunction"):
  with members:
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "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"
    - "powers of tensors and fast matrix multiplication"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "improved algorithms for one pair and k pair streett objectives"
    - "faster all pairs shortest paths via circuit complexity"
    - "qualitative analysis of partially observable markov decision processes"

Connected through hyperedge HE-6 (induced by source paper "a note on the complexity of computing the number of reachable vertices in a digraph"):
  with members:
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "powers of tensors and fast matrix multiplication"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "into the square on the complexity of quadratic time solvable problems"

Connected through hyperedge HE-7 (induced by source paper "fully polynomial time parameterized computations for graphs and matrices of low treewidth"):
  with members:
    - "computing tree decompositions with flowcutter pace 2017 submission"
    - "computing treewidth on the gpu"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "positive instance driven dynamic programming for treewidth"
    - "computing maximum flow with augmenting electrical flows"
    - "polynomial fixed parameter algorithms a case study for longest path on interval graphs"
    - "graph bisection with pareto optimization"
    - "approximate undirected maximum flows in o m polylog n time"

Connected through hyperedge HE-8 (induced by source paper "simulating branching programs with edit distance and friends or a polylog shaved is a lower bound made"):
  with members:
    - "an improved combinatorial algorithm for boolean matrix multiplication"
    - "subtree isomorphism revisited"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "probabilistic polynomials and hamming nearest neighbors"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "threesomes degenerates and love triangles"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"

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.DS(Data Structures and Algorithms)