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: "the asymmetric traveling salesman path lp has constant integrality ratio"
  Abstract: We show that the classical LP relaxation of the asymmetric traveling salesman path problem (ATSPP) has constant integrality ratio. If $\rho_{\text{ATSP}}$ and $\rho_{\text{ATSPP}}$ denote the integrality ratios for the asymmetric TSP and its path version, then $\rho_{\text{ATSPP}}\le 4\rho_{\text{ATSP}}-3$. #R##N#We prove an even better bound for node-weighted instances: if the integrality ratio for ATSP on node-weighted instances is $\rho_{\text{ATSP}}^{\text{NW}}$, then the integrality ratio for ATSPP on node-weighted instances is at most $2\rho_{\text{ATSP}}^{\text NW}-1$. #R##N#Moreover, we show that for ATSP node-weighted instances and unweighted digraph instances are almost equivalent. From this we deduce a lower bound of 2 on the integrality ratio of unweighted digraph instances.

Connected through hyperedge HE-1 (induced by source paper "a constant factor approximation for directed latency in quasi polynomial time"):
  with members:
    - "a constant factor approximation algorithm for the asymmetric traveling salesman problem"
    - "compact provably good lps for orienteering and regret bounded vehicle routing"
    - "an improved integrality gap for asymmetric tsp paths"
    - "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 "an improved approximation algorithm for atsp"):
  with members:
    - "a constant factor approximation algorithm for the asymmetric traveling salesman problem"
    - "constant factor approximation for atsp with two edge weights"
    - "approximating atsp by relaxing connectivity"
    - "effective resistance reducing flows spectrally thin trees and asymmetric tsp"

Connected through hyperedge HE-3 (induced by source paper "a constant factor approximation algorithm for the asymmetric traveling salesman problem"):
  with members:
    - "constant factor approximation for atsp with two edge weights"
    - "approximating atsp by relaxing connectivity"
    - "effective resistance reducing flows spectrally thin trees and asymmetric tsp"
    - "new inapproximability bounds for tsp"
    - "shorter tours by nicer ears 7 5 approximation for graphic tsp 3 2 for the path version and 4 3 for two edge connected subgraphs"
    - "improving christofides algorithm for the s t path tsp"
    - "13 9 approximation for graphic tsp"
    - "the asymmetric traveling salesman problem on graphs with bounded genus"

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.DM(Discrete Mathematics)