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: "a near optimal approximation algorithm for asymmetric tsp on embedded graphs"
  Abstract: We present a near-optimal polynomial-time approximation algorithm for the asymmetric traveling salesman problem for graphs of bounded orientable or non-orientable genus. Our algorithm achieves an approximation factor of O(f(g)) on graphs with genus g, where f(n) is the best approximation factor achievable in polynomial time on arbitrary n-vertex graphs. In particular, the O(log(n)/loglog(n))-approximation algorithm for general graphs by Asadpour et al. [SODA 2010] immediately implies an O(log(g)/loglog(g))-approximation algorithm for genus-g graphs. Our result improves the O(sqrt(g)*log(g))-approximation algorithm of Oveis Gharan and Saberi [SODA 2011], which applies only to graphs with orientable genus g; ours is the first approximation algorithm for graphs with bounded non-orientable genus. #R##N#Moreover, using recent progress on approximating the genus of a graph, our O(log(g) / loglog(g))-approximation can be implemented even without an embedding when the input graph has bounded degree. In contrast, the O(sqrt(g)*log(g))-approximation algorithm of Oveis Gharan and Saberi requires a genus-g embedding as part of the input. #R##N#Finally, our techniques lead to a O(1)-approximation algorithm for ATSP on graphs of genus g, with running time 2^O(g)*n^O(1).

Connected through hyperedge HE-1 (induced by source paper "computational topology of graphs on surfaces"):
  with members:
    - "untangling planar curves"
    - "shortest path embeddings of graphs on surfaces"
    - "a direct proof of the strong hanani tutte theorem on the projective plane"
    - "minimum cycle and homology bases of surface embedded graphs"
    - "crossing number is hard for kernelization"
    - "computing the geometric intersection number of curves"
    - "how to walk your dog in the mountains with no magic leash"
    - "beyond the euler characteristic approximating the genus of general graphs"

Connected through hyperedge HE-2 (induced by source paper "effective resistance reducing flows spectrally thin trees and asymmetric tsp"):
  with members:
    - "approximating atsp by relaxing connectivity"
    - "the kadison singer problem for strongly rayleigh measures and applications to asymmetric tsp"
    - "pipage rounding pessimistic estimators and matrix concentration"
    - "a randomized rounding algorithm for the asymmetric traveling salesman problem"
    - "the asymmetric traveling salesman problem on graphs with bounded genus"
    - "twice ramanujan sparsifiers"
    - "graph sparsification by effective resistances"
    - "nearly linear time algorithms for graph partitioning graph sparsification and solving linear systems"

Connected through hyperedge HE-3 (induced by source paper "beyond the euler characteristic approximating the genus of general graphs"):
  with members:
    - "approximation algorithms for euler genus and related problems"

Connected through hyperedge HE-4 (induced by source paper "approximation algorithms for euler genus and related problems"):
  with members:
    - "grid minors in damaged grids"
    - "on graph crossing number and edge planarization"
    - "an algorithm for the graph crossing number problem"
    - "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.DS(Data Structures and Algorithms)