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: "optimal error rates for interactive coding i adaptivity and other settings"
  Abstract: We consider the task of interactive communication in the presence of adversarial errors and present tight bounds on the tolerable error-rates in a number of different settings. #R##N#Most significantly, we explore adaptive interactive communication where the communicating parties decide who should speak next based on the history of the interaction. Braverman and Rao [STOC'11] show that non-adaptively one can code for any constant error rate below 1/4 but not more. They asked whether this bound could be improved using adaptivity. We answer this open question in the affirmative (with a slightly different collection of resources): Our adaptive coding scheme tolerates any error rate below 2/7 and we show that tolerating a higher error rate is impossible. We also show that in the setting of Franklin et al. [CRYPTO'13], where parties share randomness not known to the adversary, adaptivity increases the tolerable error rate from 1/2 to 2/3. For list-decodable interactive communications, where each party outputs a constant size list of possible outcomes, the tight tolerable error rate is 1/2. #R##N#Our negative results hold even if the communication and computation are unbounded, whereas for our positive results communication and computation are polynomially bounded. Most prior work considered coding schemes with linear amount of communication, while allowing unbounded computations. We argue that studying tolerable error rates in this relaxed context helps to identify a setting's intrinsic optimal error rate. We set forward a strong working hypothesis which stipulates that for any setting the maximum tolerable error rate is independent of many computational and communication complexity measures. We believe this hypothesis to be a powerful guideline for the design of simple, natural, and efficient coding schemes and for understanding the (im)possibilities of coding for interactive communications.

Connected through hyperedge HE-1 (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"
    - "coding for interactive communication correcting insertions and deletions"
    - "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 ii efficiency and list decoding"

Connected through hyperedge HE-2 (induced by source paper "optimal short circuit resilient formulas"):
  with members:
    - "maximal noise in interactive communication over erasure channels and channels with feedback"
    - "interactive channel capacity revisited"
    - "adaptive protocols for interactive communication"

Connected through hyperedge HE-3 (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"
    - "coding for interactive communication correcting insertions and deletions"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "synchronization strings channel simulations and interactive coding for insertions and deletions"):
  with members:
    - "synchronization strings list decoding for insertions and deletions"
    - "synchronization strings explicit constructions local decoding and applications"
    - "synchronization strings efficient and fast deterministic constructions over small alphabets"
    - "synchronization strings codes for insertions and deletions approaching the singleton bound"
    - "efficiently decodable insertion deletion codes for high noise and high rate regimes"
    - "maximal noise in interactive communication over erasure channels and channels with feedback"
    - "interactive channel capacity revisited"
    - "deletion codes in the high noise and high rate regimes"

Connected through hyperedge HE-5 (induced by source paper "synchronization strings efficient and fast deterministic constructions over small alphabets"):
  with members:
    - "synchronization strings channel simulations and interactive coding for insertions and deletions"
    - "synchronization strings explicit constructions local decoding and applications"
    - "synchronization strings codes for insertions and deletions approaching the singleton bound"
    - "an improved bound on the fraction of correctable deletions"
    - "interactive channel capacity revisited"
    - "new constructive aspects of the lovasz local lemma"
    - "deterministic algorithms for the lovasz local lemma"

Connected through hyperedge HE-6 (induced by source paper "making asynchronous distributed computations robust to noise"):
  with members:
    - "coding for interactive communication correcting insertions and deletions"
    - "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 ii efficiency and list decoding"

Connected through hyperedge HE-7 (induced by source paper "sending a message with unknown noise"):
  with members:
    - "distributed computing with channel noise"
    - "interactive communication with unknown noise rate"
    - "interactive channel capacity revisited"
    - "optimal error rates for interactive coding ii efficiency and list decoding"
    - "tree codes and a conjecture on exponential sums"
    - "physical layer network coding tutorial survey and beyond"

Connected through hyperedge HE-8 (induced by source paper "secure one way interactive communication"):
  with members:
    - "interactive communication with unknown noise rate"
    - "interactive channel capacity revisited"
    - "tree codes and a conjecture on exponential sums"

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)