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 "designing deterministic polynomial space algorithms by color coding multivariate polynomials"):
  Abstract: In recent years, several powerful techniques have been developed to design {\em randomized} polynomial-space parameterized algorithms. In this paper, we introduce an enhancement of color coding to design deterministic polynomial-space parameterized algorithms. Our approach aims at reducing the number of random choices by exploiting the special structure of a solution. Using our approach, we derive the following deterministic algorithms (see Introduction for problem definitions). #R##N#1. Polynomial-space $O^*(3.86^k)$-time (exponential-space $O^*(3.41^k)$-time) algorithm for {\sc $k$-Internal Out-Branching}, improving upon the previously fastest {\em exponential-space} $O^*(5.14^k)$-time algorithm for this problem. #R##N#2. Polynomial-space $O^*((2e)^{k+o(k)})$-time (exponential-space $O^*(4.32^k)$-time) algorithm for {\sc $k$-Colorful Out-Branching} on arc-colored digraphs and {\sc $k$-Colorful Perfect Matching} on planar edge-colored graphs. #R##N#To obtain our polynomial space algorithms, we show that $(n,k,\alpha k)$-splitters ($\alpha\ge 1$) and in particular $(n,k)$-perfect hash families can be enumerated one by one with polynomial delay.

Includes members:
  Member "directed hamiltonicity and out branchings via generalized laplacians":
    also connected through other hyperedges:
      (none)
  Member "spotting trees with few leaves":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "directed hamiltonicity and out branchings via generalized laplacians")
  Member "complexity results for rainbow matchings":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "keeping your friends close land allocation with friends")
  Member "fast algorithms for parameterized problems with relaxed disjointness constraints":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "time and space optimal algorithms for the many visits tsp")
  Member "representative families a unified tradeoff based approach":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "hitting long directed cycles is fixed parameter tractable")
  Member "mixing color coding related techniques":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "parameterized complexity of partial scheduling")
  Member "abusing the tutte matrix an algebraic instance compression for the k set cycle problem":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "parameterized pre coloring extension and list coloring problems")
  Member "narrow sieves for parameterized paths and packings":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "finding temporal patterns using algebraic fingerprints")

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)