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: "average case reconstruction for the deletion channel subpolynomially many traces suffice"
  Abstract: The deletion channel takes as input a bit string $\mathbf{x} \in \{0,1\}^n$, and deletes each bit independently with probability $q$, yielding a shorter string. The trace reconstruction problem is to recover an unknown string $\mathbf{x}$ from many independent outputs (called "traces") of the deletion channel applied to $\mathbf{x}$. We show that if $\mathbf{x}$ is drawn uniformly at random and $q < 1/2$, then $e^{O(\log^{1/2} n)}$ traces suffice to reconstruct $\mathbf{x}$ with high probability. The previous best bound, established in 2008 by Holenstein-Mitzenmacher-Panigrahy-Wieder, uses $n^{O(1)}$ traces and only applies for $q$ less than a smaller threshold (it seems that $q < 0.07$ is needed). Our algorithm combines several ideas: 1) an alignment scheme for "greedily" fitting the output of the deletion channel as a subsequence of the input; 2) a version of the idea of "anchoring" used by Holenstein-Mitzenmacher-Panigrahy-Wieder; and 3) complex analysis techniques from recent work of Nazarov-Peres and De-O'Donnell-Servedio.

Connected through hyperedge HE-1 (induced by source paper "the error probability of maximum likelihood decoding over two deletion channels"):
  with members:
    - "coding for sequence reconstruction for single edits"
    - "tutorial on algebraic deletion correction codes"
    - "coding for deletion channels with multiple traces"
    - "from clustering supersequences to entropy minimizing subsequences for single and double deletions"
    - "coding for racetrack memories"
    - "codes correcting a burst of deletions or insertions"
    - "fundamental bounds and approaches to sequence reconstruction from nanopore sequencers"
    - "optimal mean based algorithms for trace reconstruction"

Connected through hyperedge HE-2 (induced by source paper "coded trace reconstruction"):
  with members:
    - "capacity results for the noisy shuffling channel"
    - "anchor based correction of substitutions in indexed sets"
    - "clustering correcting codes"
    - "coding for deletion channels with multiple traces"
    - "reconstructing trees from traces"
    - "beyond trace reconstruction population recovery from the deletion channel"
    - "trace reconstruction generalized and parameterized"
    - "sequence subset distance and coding for error control in dna based data storage"

Connected through hyperedge HE-3 (induced by source paper "coded trace reconstruction in a constant number of traces"):
  with members:
    - "coding for deletion channels with multiple traces"
    - "coded trace reconstruction"
    - "beyond trace reconstruction population recovery from the deletion channel"
    - "trace reconstruction generalized and parameterized"
    - "unique reconstruction of coded strings from multiset substring spectra"
    - "capacity upper bounds for deletion type channels"
    - "polynomial time decodable codes for the binary deletion channel"
    - "synchronization strings explicit constructions local decoding and applications"

Connected through hyperedge HE-4 (induced by source paper "efficient average case population recovery in the presence of insertions and deletions"):
  with members:
    - "beyond trace reconstruction population recovery from the deletion channel"
    - "trace reconstruction generalized and parameterized"
    - "sharp bounds for population recovery"
    - "noisy population recovery in polynomial time"
    - "optimal mean based algorithms for trace reconstruction"
    - "a polynomial time algorithm for lossy population recovery"

Connected through hyperedge HE-5 (induced by source paper "coding for deletion channels with multiple traces"):
  with members:
    - "coded trace reconstruction"
    - "unique reconstruction of coded strings from multiset substring spectra"
    - "efficient systematic encoding of non binary vt codes"
    - "exact reconstruction from insertions in synchronization codes"
    - "codes for dna sequence profiles"

Connected through hyperedge HE-6 (induced by source paper "beyond trace reconstruction population recovery from the deletion channel"):
  with members:
    - "sharp bounds for population recovery"
    - "noisy population recovery in polynomial time"
    - "optimal mean based algorithms for trace reconstruction"
    - "a polynomial time algorithm for lossy population recovery"

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)