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 constant factor approximation for directed latency in quasi polynomial time"):
  Abstract: We give the first constant-factor approximation for the Directed Latency problem in quasi-polynomial time. Here, the goal is to visit all nodes in an asymmetric metric with a single vehicle starting at a depot $r$ to minimize the average time a node waits to be visited by the vehicle. The approximation guarantee is an improvement over the polynomial-time $O(\log n)$-approximation [Friggstad, Salavatipour, Svitkina, 2013] and no better quasi-polynomial time approximation algorithm was known. #R##N#To obtain this, we must extend a recent result showing the integrality gap of the Asymmetric TSP-Path LP relaxation is bounded by a constant [Kohne, Traub, and Vygen, 2019], which itself builds on the breakthrough result that the integrality gap for standard Asymmetric TSP is also a constant [Svensson, Tarnawsi, and Vegh, 2018]. We show the standard Asymmetric TSP-Path integrality gap is bounded by a constant even if the cut requirements of the LP relaxation are relaxed from $x(\delta^{in}(S)) \geq 1$ to $x(\delta^{in}(S)) \geq \rho$ for some constant $1/2 < \rho \leq 1$. We also give a better approximation guarantee in the special case of Directed Latency in regret metrics where the goal is to find a path $P$ minimize the average time a node $v$ waits in excess of $c_{rv}$, i.e. $\frac{1}{|V|} \cdot \sum_{v \in V} (c_v(P)-c_{rv})$.

Includes members:
  Member "the asymmetric traveling salesman path lp has constant integrality ratio":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "an improved approximation algorithm for atsp")
  Member "a constant factor approximation algorithm for the asymmetric traveling salesman problem":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "classification in asymmetric spaces via sample compression")
  Member "compact provably good lps for orienteering and regret bounded vehicle routing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "uav trajectory optimization for time constrained applications")
  Member "an improved integrality gap for asymmetric tsp paths":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the asymmetric traveling salesman path lp has constant integrality ratio")
  Member "approximation algorithms for regret bounded vehicle routing and applications to distance constrained vehicle routing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "vehicle routing with subtours")
  Member "improving christofides algorithm for the s t path tsp":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "reducing path tsp to tsp")
  Member "asymmetric traveling salesman path and directed latency problems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the asymmetric traveling salesman path lp has constant integrality ratio")

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)