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: "dynamic scflip decoding of polar codes"
  Abstract: This paper proposes a generalization of the recently introduced Successive Cancellation Flip (SCFlip) decoding of polar codes, characterized by a number of extra decoding attempts, where one or several positions are flipped from the standard Successive Cancellation (SC) decoding. To make such an approach effective, we first introduce the concept of higher-order bit-flips, and propose a new metric to determine the bit-flips that are more likely to correct the trajectory of the SC decoding. We then propose a generalized SCFlip decoding algorithm, referred to as Dynamic-SCFlip (D-SCFlip), which dynamically builds a list of candidate bit-flips, while guaranteeing that extra decoding attempts are performed by decreasing probability of success. Simulation results show that D-SCFlip is an effective alternative to SC-List decoding of polar codes, by providing very good error correcting performance, with an average computation complexity close to the one of the SC decoder.

Connected through hyperedge HE-1 (induced by source paper "polar codes and their quantum domain counterparts"):
  with members:
    - "reinforcement learning for nested polar code construction"
    - "decoder tailored polar code design using the genetic algorithm"
    - "genetic algorithm based polar code construction for the awgn channel"
    - "improved bit flipping algorithm for successive cancellation decoding of polar codes"
    - "design of polar codes in 5g new radio"
    - "belief propagation decoding of polar codes on permuted factor graphs"
    - "improved successive cancellation flip decoding of polar codes based on error distribution"
    - "belief propagation list decoding of polar codes"

Connected through hyperedge HE-2 (induced by source paper "deep learning aided successive cancellation decoding of polar codes"):
  with members:
    - "neural dynamic successive cancellation flip decoding of polar codes"
    - "improved bit flipping algorithm for successive cancellation decoding of polar codes"
    - "neural belief propagation decoding of crc polar concatenated codes"
    - "partitioned successive cancellation flip decoding of polar codes"
    - "deep learning methods for improved decoding of linear codes"
    - "improved successive cancellation flip decoding of polar codes based on error distribution"
    - "scaling deep learning based decoding of polar codes via partitioning"
    - "llr based successive cancellation list decoding of polar codes"

Connected through hyperedge HE-3 (induced by source paper "neural dynamic successive cancellation flip decoding of polar codes"):
  with members:
    - "improved bit flipping algorithm for successive cancellation decoding of polar codes"
    - "neural belief propagation decoding of crc polar concatenated codes"
    - "partitioned successive cancellation flip decoding of polar codes"
    - "deep learning methods for improved decoding of linear codes"
    - "improved successive cancellation flip decoding of polar codes based on error distribution"
    - "neural offset min sum decoding"
    - "tensorflow a system for large scale machine learning"
    - "llr based successive cancellation list decoding of polar codes"

Connected through hyperedge HE-4 (induced by source paper "permutation decoding of polar codes"):
  with members:
    - "a new permutation decoding method for reed muller codes"
    - "on the decoding of polar codes on permuted factor graphs"
    - "decoding reed muller and polar codes by successive factor graph permutations"
    - "algebraic properties of polar codes from a new polynomial formalism"
    - "llr based successive cancellation list decoding of polar codes"
    - "a low complexity improved successive cancellation decoder for polar codes"
    - "list decoding of polar codes"
    - "hardware architectures for successive cancellation decoding of polar codes"

Connected through hyperedge HE-5 (induced by source paper "learning to flip successive cancellation decoding of polar codes with lstm networks"):
  with members:
    - "improved successive cancellation flip decoding of polar codes based on error distribution"
    - "scaling deep learning based decoding of polar codes via partitioning"
    - "progressive bit flipping decoding of polar codes over layered critical sets"
    - "deep residual learning for image recognition"
    - "a low complexity improved successive cancellation decoder for polar codes"
    - "sequence to sequence learning with neural networks"
    - "improved successive cancellation decoding of polar codes"
    - "list decoding of polar codes"

Connected through hyperedge HE-6 (induced by source paper "improved bit flipping algorithm for successive cancellation decoding of polar codes"):
  with members:
    - "partitioned successive cancellation flip decoding of polar codes"
    - "improved successive cancellation flip decoding of polar codes based on error distribution"
    - "an improved scflip decoder for polar codes"
    - "partitioned list decoding of polar codes analysis and improvement of finite length performance"
    - "polarbear a 28 nm fd soi asic for decoding of polar codes"
    - "on error correction performance and implementation of polar code list decoders for 5g"
    - "fast and flexible successive cancellation list decoders for polar codes"
    - "progressive bit flipping decoding of polar codes over layered critical sets"

Connected through hyperedge HE-7 (induced by source paper "partitioned successive cancellation flip decoding of polar codes"):
  with members:
    - "an improved scflip decoder for polar codes"
    - "partitioned list decoding of polar codes analysis and improvement of finite length performance"
    - "on error correction performance and implementation of polar code list decoders for 5g"
    - "partitioned successive cancellation list decoding of polar codes"
    - "a low complexity improved successive cancellation decoder for polar codes"
    - "list decoding of polar codes"

Connected through hyperedge HE-8 (induced by source paper "improved successive cancellation flip decoding of polar codes based on error distribution"):
  with members:
    - "an improved scflip decoder for polar codes"
    - "fast and flexible successive cancellation list decoders for polar codes"
    - "llr based successive cancellation list decoding of polar codes"
    - "a low complexity improved successive cancellation decoder for polar codes"
    - "a scalable successive cancellation decoder for polar codes"
    - "list decoding of polar codes"

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)