human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a parameterized strongly polynomial algorithm for block structured integer programs"):
  Abstract: The theory of $n$-fold integer programming has been recently emerging as an important tool in parameterized complexity. The input to an $n$-fold integer program (IP) consists of parameter $A$, dimension $n$, and numerical data of binary encoding length $L$. It was known for some time that such programs can be solved in polynomial time using $O(n^{g(A)}L)$ arithmetic operations where $g$ is an exponential function of the parameter. In 2013 it was shown that it can be solved in fixed-parameter tractable (FPT) time using $O(f(A)n^3L)$ arithmetic operations for a single-exponential function $f$. This, and a faster algorithm for a special case of combinatorial $n$-fold IP, have led to several very recent breakthroughs in the parameterized complexity of scheduling, stringology, and computational social choice. In 2015 it was shown that it can be solved in strongly polynomial time using $O(n^{g(A)})$ arithmetic operations. #R##N#Here we establish a result which subsumes all three of the above results by showing that $n$-fold IP can be solved in strongly polynomial FPT time using $O(f(A)n^3)$ arithmetic operations. In fact, our results are much more general, briefly outlined as follows. #R##N#- There is a strongly polynomial algorithm for ILP whenever a so-called Graver-best oracle is realizable for it. #R##N#- Graver-best oracles for the large classes of multi-stage stochastic and tree-fold ILPs can be realized in FPT time. Together with the previous oracle algorithm, this newly shows two large classes of ILP to be strongly polynomial; in contrast, only few classes of ILP were previously known to be strongly polynomial. #R##N#- We show that ILP is FPT parameterized by the largest coefficient $\|A\|_\infty$ and the primal or dual treedepth of $A$, and that this parameterization cannot be relaxed, signifying substantial progress in understanding the parameterized complexity of ILP.

Includes members:
  Member "empowering the configuration ip new ptas results for scheduling with setups times":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "n fold integer programming via lp rounding")
  Member "the complexity landscape of decompositional parameters for ilp":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "parameterized algorithms for milps with small treedepth")
  Member "combinatorial n fold integer programming and applications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "n fold integer programming via lp rounding")
  Member "solving integer linear programs with a small number of global variables and constraints":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "parameterized algorithms for milps with small treedepth")
  Member "a structural approach to kernels for ilps treewidth and total unimodularity":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "parameterized algorithms for milps with small treedepth")
  Member "a faster parameterized algorithm for treedepth":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "hamiltonian cycle parameterized by treedepth in single exponential time and polynomial space")

Question: Please tell me which class the source paper 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)