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: "half integrality lp branching and fpt algorithms"
  Abstract: A recent trend in parameterized algorithms is the application of polytope tools (specifically, LP-branching) to FPT algorithms (e.g., Cygan et al., 2011; Narayanaswamy et al., 2012). However, although interesting results have been achieved, the methods require the underlying polytope to have very restrictive properties (half-integrality and persistence), which are known only for few problems (essentially Vertex Cover (Nemhauser and Trotter, 1975) and Node Multiway Cut (Garg et al., 1994)). Taking a slightly different approach, we view half-integrality as a \emph{discrete} relaxation of a problem, e.g., a relaxation of the search space from $\{0,1\}^V$ to $\{0,1/2,1\}^V$ such that the new problem admits a polynomial-time exact solution. Using tools from CSP (in particular Thapper and \v{Z}ivn\'y, 2012) to study the existence of such relaxations, we provide a much broader class of half-integral polytopes with the required properties, unifying and extending previously known cases. #R##N#In addition to the insight into problems with half-integral relaxations, our results yield a range of new and improved FPT algorithms, including an $O^*(|\Sigma|^{2k})$-time algorithm for node-deletion Unique Label Cover with label set $\Sigma$ and an $O^*(4^k)$-time algorithm for Group Feedback Vertex Set, including the setting where the group is only given by oracle access. All these significantly improve on previous results. The latter result also implies the first single-exponential time FPT algorithm for Subset Feedback Vertex Set, answering an open question of Cygan et al. (2012). #R##N#Additionally, we propose a network flow-based approach to solve some cases of the relaxation problem. This gives the first linear-time FPT algorithm to edge-deletion Unique Label Cover.

Connected through hyperedge HE-1 (induced by source paper "parameterized algorithms for milps with small treedepth"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "empowering the configuration ip new ptas results for scheduling with setups times"
    - "experimental evaluation of parameterized algorithms for graph separation problems half integral relaxations and matroid based kernelization"
    - "scheduling meets n fold integer programming"
    - "the complexity landscape of decompositional parameters for ilp"
    - "combinatorial n fold integer programming and applications"
    - "0 1 all csps half integral a path packing and linear time fpt algorithms"
    - "solving integer linear programs with a small number of global variables and constraints"

Connected through hyperedge HE-2 (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"
    - "faster deterministic feedback vertex set"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "randomized algorithms for the loop cutset problem"

Connected through hyperedge HE-3 (induced by source paper "subset feedback vertex set in chordal and split graphs"):
  with members:
    - "exact algorithms via monotone local search"
    - "a randomized polynomial kernel for subset feedback vertex set"
    - "directed subset feedback vertex set is fixed parameter tractable"
    - "hitting forbidden minors approximation and kernelization"
    - "subset feedback vertex set is fixed parameter tractable"

Connected through hyperedge HE-4 (induced by source paper "multi budgeted directed cuts"):
  with members:
    - "parameterized complexity and approximability of directed odd cycle transversal"
    - "linear time kernelization for feedback vertex set"
    - "a linear time parameterized algorithm for directed feedback vertex set"
    - "directed multicut is w 1 hard even for four terminal pairs"
    - "list h coloring a graph by removing few vertices"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "directed subset feedback vertex set is fixed parameter tractable"
    - "representative sets and irrelevant vertices new tools for kernelization"

Connected through hyperedge HE-5 (induced by source paper "randomized contractions meet lean decompositions"):
  with members:
    - "reducing cmso model checking to highly connected graphs"
    - "clustering with local restrictions"
    - "definability equals recognizability for graphs of bounded treewidth"
    - "linear time kernelization for feedback vertex set"
    - "parameterized complexity dichotomy for steiner multicut"
    - "minimum bisection is fixed parameter tractable"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "don t be strict in local search"

Connected through hyperedge HE-6 (induced by source paper "an improved fpt algorithm for independent feedback vertex set"):
  with members:
    - "linear time kernelization for feedback vertex set"
    - "simultaneous feedback vertex set a parameterized perspective"
    - "on feedback vertex set new measure and new structures"
    - "faster deterministic feedback vertex set"
    - "on group feedback vertex set parameterized by the size of the cutset"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "subset feedback vertex set is fixed parameter tractable"

Connected through hyperedge HE-7 (induced by source paper "experimental evaluation of parameterized algorithms for feedback vertex set"):
  with members:
    - "a naive algorithm for feedback vertex set"
    - "linear time kernelization for feedback vertex set"
    - "on feedback vertex set new measure and new structures"
    - "faster deterministic feedback vertex set"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "randomized algorithms for the loop cutset problem"

Connected through hyperedge HE-8 (induced by source paper "dynamic parameterized problems and algorithms"):
  with members:
    - "fully dynamic maximal matching in constant update time"
    - "fully dynamic connectivity in o log n log log n 2 amortized expected time"
    - "linear time kernelization for feedback vertex set"
    - "a linear time parameterized algorithm for directed feedback vertex set"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "dynamic graph connectivity with improved worst case update time and sublinear space"
    - "improved algorithms for decremental single source reachability on directed graphs"
    - "fast dynamic graph algorithms for parameterized problems"

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)