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: "cascade triangular and two way source coding with degraded side information at the second user"
  Abstract: We consider the Cascade and Triangular rate-distortion problems where the same side information is available at the source node and User 1, and the side information available at User 2 is a degraded version of the side information at the source node and User 1. We characterize the rate-distortion region for these problems. For the Cascade setup, we showed that, at User 1, decoding and re-binning the codeword sent by the source node for User 2 is optimum. We then extend our results to the Two way Cascade and Triangular setting, where the source node is interested in lossy reconstruction of the side information at User 2 via a rate limited link from User 2 to the source node. We characterize the rate distortion regions for these settings. Complete explicit characterizations for all settings are also given in the Quadratic Gaussian case. We conclude with two further extensions: A triangular source coding problem with a helper, and an extension of our Two Way Cascade setting in the Quadratic Gaussian case.

Connected through hyperedge HE-1 (induced by source paper "hypothesis testing over the two hop relay network"):
  with members:
    - "distributed hypothesis testing with concurrent detections"
    - "strong converse for hypothesis testing against independence over a two hop network"
    - "distributed hypothesis testing based on unequal error protection codes"
    - "distributed hypothesis testing over discrete memoryless channels"
    - "on hypothesis testing against independence with multiple decision centers"
    - "universal outlier hypothesis testing"
    - "heegard berger and cascade source coding problems with common reconstruction constraints"
    - "cascade and triangular source coding with side information at the first two nodes"

Connected through hyperedge HE-2 (induced by source paper "collaborative information bottleneck"):
  with members:
    - "distributed binary detection with lossy data compression"
    - "distributed information theoretic biclustering"
    - "the three terminal interactive lossy source coding problem"
    - "deep learning with elastic averaging sgd"
    - "representation learning a review and new perspectives"
    - "multiterminal source coding under logarithmic loss"
    - "information theoretic proofs of entropy power inequalities"
    - "two way source coding with a helper"

Connected through hyperedge HE-3 (induced by source paper "collaborative representation learning"):
  with members:
    - "distributed information theoretic biclustering"
    - "the three terminal interactive lossy source coding problem"
    - "deep learning with elastic averaging sgd"
    - "representation learning a review and new perspectives"
    - "information theoretic proofs of entropy power inequalities"
    - "two way source coding with a helper"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-4 (induced by source paper "secure source coding with a public helper"):
  with members:
    - "secure coordination with a two sided helper"
    - "secure multiterminal source coding with side information at the eavesdropper"
    - "utility privacy tradeoffs in databases an information theoretic approach"
    - "on secure source coding with side information at the encoder"
    - "rate distortion theory for secrecy systems"
    - "information masking and amplification the source coding setting"
    - "multiterminal source coding under logarithmic loss"
    - "a framework for partial secrecy"

Connected through hyperedge HE-5 (induced by source paper "successive refinement with decoder cooperation and its channel coding duals"):
  with members:
    - "channel coding and source coding with increased partial side information"
    - "coordination using implicit communication"
    - "multiple access channel with partial and controlled cribbing encoders"
    - "interference channels with destination cooperation"
    - "cascade and triangular source coding with side information at the first two nodes"
    - "lecture notes on network information theory"
    - "the compound multiple access channel with partially cooperating encoders"
    - "cascade multiterminal source coding"

Connected through hyperedge HE-6 (induced by source paper "empirical coordination in a triangular multiterminal network"):
  with members:
    - "cascade and triangular source coding with side information at the first two nodes"
    - "cascade multiterminal source coding"

Connected through hyperedge HE-7 (induced by source paper "heegard berger and cascade source coding problems with common reconstruction constraints"):
  with members:
    - "cascade multiterminal source coding"

Connected through hyperedge HE-8 (induced by source paper "on cascade source coding with a side information vending machine"):
  with members:
    - "heegard berger and cascade source coding problems with common reconstruction constraints"
    - "cascade source coding with a side information vending machine"
    - "multi terminal source coding with action dependent side information"
    - "robust coding for lossy computing with receiver side observation costs"
    - "distributed and cascade lossy source coding with a side information vending machine"
    - "source coding with a side information vending machine"

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)