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: "an improved integrality gap for asymmetric tsp paths"
  Abstract: The Asymmetric Traveling Salesperson Path Problem (ATSPP) is one where, given an asymmetric metric space $(V,d)$ with specified vertices s and t, the goal is to find an s-t path of minimum length that passes through all the vertices in V. #R##N#This problem is closely related to the Asymmetric TSP (ATSP), which seeks to find a tour (instead of an $s-t$ path) visiting all the nodes: for ATSP, a $\rho$-approximation guarantee implies an $O(\rho)$-approximation for ATSPP. However, no such connection is known for the integrality gaps of the linear programming relaxations for these problems: the current-best approximation algorithm for ATSPP is $O(\log n/\log\log n)$, whereas the best bound on the integrality gap of the natural LP relaxation (the subtour elimination LP) for ATSPP is $O(\log n)$. #R##N#In this paper, we close this gap, and improve the current best bound on the integrality gap from $O(\log n)$ to $O(\log n/\log\log n)$. The resulting algorithm uses the structure of narrow $s$-$t$ cuts in the LP solution to construct a (random) tree spanning tree that can be cheaply augmented to contain an Eulerian $s$-$t$ walk. #R##N#We also build on a result of Oveis Gharan and Saberi and show a strong form of Goddyn's conjecture about thin spanning trees implies the integrality gap of the subtour elimination LP relaxation for ATSPP is bounded by a constant. Finally, we give a simpler family of instances showing the integrality gap of this LP is at least 2.

Connected through hyperedge HE-1 (induced by source paper "a constant factor approximation for directed latency in quasi polynomial time"):
  with members:
    - "the asymmetric traveling salesman path lp has constant integrality ratio"
    - "a constant factor approximation algorithm for the asymmetric traveling salesman problem"
    - "compact provably good lps for orienteering and regret bounded vehicle routing"
    - "approximation algorithms for regret bounded vehicle routing and applications to distance constrained vehicle routing"
    - "improving christofides algorithm for the s t path tsp"
    - "asymmetric traveling salesman path and directed latency problems"

Connected through hyperedge HE-2 (induced by source paper "the asymmetric traveling salesman path lp has constant integrality ratio"):
  with members:
    - "a constant factor approximation algorithm for the asymmetric traveling salesman problem"
    - "approximating atsp by relaxing connectivity"
    - "asymmetric traveling salesman path and directed latency problems"

Connected through hyperedge HE-3 (induced by source paper "compact provably good lps for orienteering and regret bounded vehicle routing"):
  with members:
    - "approximation algorithms for regret bounded vehicle routing and applications to distance constrained vehicle routing"
    - "facility location with client latencies linear programming based techniques for minimum latency problems"

Connected through hyperedge HE-4 (induced by source paper "multiple traveling salesmen in asymmetric metrics"):
  with members:
    - "eight fifth approximation for the path tsp"
    - "new inapproximability bounds for tsp"
    - "improving christofides algorithm for the s t path tsp"
    - "facility location with client latencies linear programming based techniques for minimum latency problems"
    - "asymmetric traveling salesman path and directed latency 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)