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: "layered constructions for low delay streaming codes"
  Abstract: We study error correction codes for multimedia streaming applications where a stream of source packets must be transmitted in real-time, with in-order decoding, and strict delay constraints. In our setup, the encoder observes a stream of source packets in a sequential fashion, and    $M$    channel packets must be transmitted between the arrival of successive source packets. Each channel packet can depend on all the source packets observed up to and including that time, but not on any future source packets. The decoder must reconstruct the source stream with a delay of    $T$    packets. We consider a class of packet erasure channels with burst and isolated erasures, where the erasure patterns are locally constrained. Our proposed model provides a tractable approximation to statistical models, such as the Gilbert–Elliott channel, for capacity analysis. When    $M=1$   , i.e., when the source-packet arrival and channel-packet transmission rates are equal, we establish upper and lower bounds on the capacity, that are within one unit of the decoding delay    $T$   . We also establish necessary and sufficient conditions on the column distance and column span of a convolutional code to be feasible, and in turn establish a fundamental tradeoff between these. Our proposed codes—maximum distance and span codes—achieve a near-optimal tradeoff between the column distance and column span, and involve a layered construction. When    $M>1$   , we establish the capacity for the burst-erasure channel and an achievable rate in the general case. Extensive numerical simulations over Gilbert–Elliott and Fritchman channel models suggest that our codes also achieve significant gains in the residual loss probability over statistical channel models.

Connected through hyperedge HE-1 (induced by source paper "an explicit construction of optimal streaming codes for channels with burst and arbitrary erasures"):
  with members:
    - "low field size rate optimal streaming codes for channels with burst and random erasures"
    - "optimal multiplexed erasure codes for streaming messages with different decoding delays"
    - "an explicit rate optimal streaming code for channels with burst and arbitrary erasures"
    - "optimal streaming codes for channels with burst and arbitrary erasures"
    - "systematic encoders for generalized gabidulin codes and the q analogue of cauchy matrices"
    - "rate optimal streaming codes for channels with burst and isolated erasures"
    - "on the genericity of maximum rank distance and gabidulin codes"
    - "new criteria for mrd and gabidulin codes and some rank metric code constructions"

Connected through hyperedge HE-2 (induced by source paper "robust low delay streaming pir using convolutional codes"):
  with members:
    - "private information retrieval from locally repairable databases with colluding servers"
    - "private information retrieval from coded storage systems with colluding byzantine and unresponsive servers"
    - "robust private information retrieval on coded data"
    - "superregular matrices and applications to convolutional codes"
    - "private information retrieval from coded databases with colluding servers"
    - "the capacity of private information retrieval from coded databases"
    - "robust streaming erasure codes based on deterministic channel approximations"
    - "decoding of convolutional codes over the erasure channel"

Connected through hyperedge HE-3 (induced by source paper "an explicit rate optimal streaming code for channels with burst and arbitrary erasures"):
  with members:
    - "low field size rate optimal streaming codes for channels with burst and random erasures"
    - "an explicit construction of optimal streaming codes for channels with burst and arbitrary erasures"
    - "optimal streaming codes for channels with burst and arbitrary erasures"
    - "rate optimal streaming codes for channels with burst and isolated erasures"
    - "streaming codes for channels with burst and isolated erasures"

Connected through hyperedge HE-4 (induced by source paper "optimal multiplexed erasure codes for streaming messages with different decoding delays"):
  with members:
    - "optimal streaming codes for channels with burst and arbitrary erasures"
    - "zero delay sequential transmission of markov sources over burst erasure channels"
    - "erasure coding for real time streaming"
    - "streaming codes for channels with burst and isolated erasures"

Connected through hyperedge HE-5 (induced by source paper "low field size rate optimal streaming codes for channels with burst and random erasures"):
  with members:
    - "streaming codes for channels with burst and isolated erasures"

Connected through hyperedge HE-6 (induced by source paper "a new class of convolutional codes and its use in the mceliece cryptosystem"):
  with members:
    - "superregular matrices and applications to convolutional codes"
    - "a sugiyama like decoding algorithm for convolutional codes"
    - "a polynomial time attack on the bbcrs scheme"
    - "a new class of superregular matrices and mdp convolutional codes"
    - "enhanced public key security for the mceliece cryptosystem"

Connected through hyperedge HE-7 (induced by source paper "optimal streaming erasure codes over the three node relay network"):
  with members:
    - "optimal streaming codes for channels with burst and arbitrary erasures"
    - "erasure coding for real time streaming"
    - "streaming codes for channels with burst and isolated erasures"

Connected through hyperedge HE-8 (induced by source paper "optimal streaming codes for channels with burst and arbitrary erasures"):
  with members:
    - "erasure coding for real time streaming"
    - "streaming codes for channels with burst and isolated erasures"

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.IT(Information Theory)