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: "solving connectivity problems parameterized by treewidth in single exponential time"
  Abstract: For the vast majority of local graph problems standard dynamic programming techniques give c^tw V^O(1) algorithms, where tw is the treewidth of the input graph. On the other hand, for problems with a global requirement (usually connectivity) the best-known algorithms were naive dynamic programming schemes running in tw^O(tw) V^O(1) time. #R##N#We breach this gap by introducing a technique we dubbed Cut&Count that allows to produce c^tw V^O(1) Monte Carlo algorithms for most connectivity-type problems, including Hamiltonian Path, Feedback Vertex Set and Connected Dominating Set, consequently answering the question raised by Lokshtanov, Marx and Saurabh [SODA'11] in a surprising way. We also show that (under reasonable complexity assumptions) the gap cannot be breached for some problems for which Cut&Count does not work, like CYCLE PACKING. #R##N#The constant c we obtain is in all cases small (at most 4 for undirected problems and at most 6 for directed ones), and in several cases we are able to show that improving those constants would cause the Strong Exponential Time Hypothesis to fail. #R##N#Our results have numerous consequences in various fields, like FPT algorithms, exact and approximate algorithms on planar and H-minor-free graphs and algorithms on graphs of bounded degree. In all these fields we are able to improve the best-known results for some problems.

Connected through hyperedge HE-1 (induced by source paper "hamiltonian cycle parameterized by treedepth in single exponential time and polynomial space"):
  with members:
    - "solving connectivity problems parameterized by treedepth in single exponential time and polynomial space"
    - "improved bounds for the excluded minor approximation of treedepth"
    - "polynomial bounds for centered colorings on proper minor closed graph classes"
    - "fast exact algorithms for some connectivity problems parametrized by clique width"
    - "turing kernelization for finding long paths in graph classes excluding a topological minor"
    - "clifford algebras meet tree decompositions"
    - "on space efficiency of algorithms working on structural decompositions of graphs"
    - "a faster parameterized algorithm for treedepth"

Connected through hyperedge HE-2 (induced by source paper "solving connectivity problems parameterized by treedepth in single exponential time and polynomial space"):
  with members:
    - "fast exact algorithms for some connectivity problems parametrized by clique width"
    - "representative sets of product families"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-3 (induced by source paper "a complexity dichotomy for hitting connected minors on bounded treewidth graphs the chair and the banner draw the boundary"):
  with members:
    - "composing dynamic programming tree decomposition based algorithms"
    - "hitting topological minor models in planar graphs is fixed parameter tractable"
    - "slightly superexponential parameterized problems"
    - "optimal algorithms for hitting topological minors on graphs of bounded treewidth"
    - "deleting vertices to graphs of bounded genus"
    - "generalized feedback vertex set problems on bounded treewidth graphs chordality is the key to single exponential parameterized algorithms"
    - "hitting minors on bounded treewidth graphs"
    - "explicit linear kernels for packing problems"

Connected through hyperedge HE-4 (induced by source paper "detecting feedback vertex sets of size k in o star 2 7 k time"):
  with members:
    - "losing treewidth by separating subsets"
    - "a naive algorithm for feedback vertex set"
    - "fine grained parameterized complexity analysis of graph coloring problems"
    - "on problems as hard as cnf sat"
    - "exact algorithms via monotone local search"
    - "on feedback vertex set new measure and new structures"
    - "powers of tensors and fast matrix multiplication"
    - "faster deterministic feedback vertex set"

Connected through hyperedge HE-5 (induced by source paper "improved analysis of highest degree branching for feedback vertex set"):
  with members:
    - "experimental evaluation of parameterized algorithms for feedback vertex set"
    - "a naive algorithm for feedback vertex set"
    - "0 1 all csps half integral a path packing and linear time fpt algorithms"
    - "linear time kernelization for feedback vertex set"
    - "on feedback vertex set new measure and new structures"
    - "half integrality lp branching and fpt algorithms"
    - "faster deterministic feedback vertex set"
    - "randomized algorithms for the loop cutset problem"

Connected through hyperedge HE-6 (induced by source paper "the satisfiability threshold for non uniform random 2 sat"):
  with members:
    - "bounds on the satisfiability threshold for power law distributed random sat"
    - "on the hardness of sat with community structure"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "the fractal dimension of sat formulas"
    - "bounds on threshold of regular random k sat"

Connected through hyperedge HE-7 (induced by source paper "parameterized algorithms for maximum cut with connectivity constraints"):
  with members:
    - "weighted upper edge cover complexity and approximability"
    - "a linear time algorithm for a variant of the max cut problem in series parallel graphs"
    - "approximation algorithms for connected maximum cut and related problems"
    - "deterministic parameterized connected vertex cover"

Connected through hyperedge HE-8 (induced by source paper "computational complexity of hedonic games on sparse graphs"):
  with members:
    - "hedonic coalition formation for distributed task allocation among wireless agents"
    - "stable partitions in additively separable hedonic games"
    - "settling the complexity of local max cut almost completely"

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)