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: "coding for interactive communication correcting insertions and deletions"
  Abstract: We consider the question of interactive communication, in which two remote parties perform a computation while their communication channel is (adversarially) noisy. We extend here the discussion into a more general and stronger class of noise, namely, we allow the channel to perform insertions and deletions of symbols. These types of errors may bring the parties "out of sync", so that there is no consensus regarding the current round of the protocol. #R##N#In this more general noise model, we obtain the first interactive coding scheme that has a constant rate and resists noise rates of up to $1/18-\varepsilon$. To this end we develop a novel primitive we name edit distance tree code. The edit distance tree code is designed to replace the Hamming distance constraints in Schulman's tree codes (STOC 93), with a stronger edit distance requirement. However, the straightforward generalization of tree codes to edit distance does not seem to yield a primitive that suffices for communication in the presence of synchronization problems. Giving the "right" definition of edit distance tree codes is a main conceptual contribution of this work.

Connected through hyperedge HE-1 (induced by source paper "covering codes for insertions and deletions"):
  with members:
    - "an overview of capacity results for synchronization channels"
    - "near linear time insertion deletion codes and 1 e approximating edit distance via indexing"
    - "optimally resilient codes for list decoding from insertions and deletions"
    - "polynomial time decodable codes for the binary deletion channel"
    - "an improved bound on the fraction of correctable deletions"
    - "locality sensitive hashing without false negatives"
    - "generalized sphere packing bound"
    - "a characterization of the number of subsequences obtained via the deletion channel"

Connected through hyperedge HE-2 (induced by source paper "efficient multiparty interactive coding for insertions deletions and substitutions"):
  with members:
    - "synchronization strings channel simulations and interactive coding for insertions and deletions"
    - "distributed computing with channel noise"
    - "interactive channel capacity revisited"
    - "the adversarial noise threshold for distributed protocols"
    - "adaptive protocols for interactive communication"
    - "optimal error rates for interactive coding ii efficiency and list decoding"

Connected through hyperedge HE-3 (induced by source paper "interactive coding resilient to an unknown number of erasures"):
  with members:
    - "distributed computing with channel noise"
    - "sending a message with unknown noise"
    - "interactive communication with unknown noise rate"
    - "maximal noise in interactive communication over erasure channels and channels with feedback"
    - "interactive channel capacity revisited"
    - "adaptive protocols for interactive communication"
    - "optimal error rates for interactive coding i adaptivity and other settings"
    - "optimal error rates for interactive coding ii efficiency and list decoding"

Connected through hyperedge HE-4 (induced by source paper "synchronization strings codes for insertions and deletions approaching the singleton bound"):
  with members:
    - "synchronization strings channel simulations and interactive coding for insertions and deletions"
    - "synchronization strings explicit constructions local decoding and applications"
    - "efficiently decodable insertion deletion codes for high noise and high rate regimes"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "interactive channel capacity revisited"
    - "deletion codes in the high noise and high rate regimes"
    - "an entropy sumset inequality and polynomially fast convergence to shannon capacity over all alphabets"
    - "polar codes speed of polarization and polynomial gap to capacity"

Connected through hyperedge HE-5 (induced by source paper "synchronization strings explicit constructions local decoding and applications"):
  with members:
    - "synchronization strings list decoding for insertions and deletions"
    - "synchronization strings channel simulations and interactive coding for insertions and deletions"
    - "synchronization strings efficient and fast deterministic constructions over small alphabets"
    - "local list recovery of high rate tensor codes and applications"
    - "synchronization strings codes for insertions and deletions approaching the singleton bound"
    - "efficiently decodable insertion deletion codes for high noise and high rate regimes"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "interactive channel capacity revisited"

Connected through hyperedge HE-6 (induced by source paper "making asynchronous distributed computations robust to noise"):
  with members:
    - "maximal noise in interactive communication over erasure channels and channels with feedback"
    - "balancing communication for multi party interactive coding"
    - "interactive channel capacity revisited"
    - "the adversarial noise threshold for distributed protocols"
    - "breathe before speaking efficient information dissemination despite noisy limited and anonymous communication"
    - "optimal error rates for interactive coding i adaptivity and other settings"
    - "optimal error rates for interactive coding ii efficiency and list decoding"

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)