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: "low complexity belief propagation polar code decoders"
  Abstract: Since its invention, polar code has received a lot of attention because of its capacity-achieving performance and low encoding and decoding complexity. Successive cancellation decoding (SCD) and belief propagation decoding (BPD) are two of the most popular approaches for decoding polar codes. SCD is able to achieve good error-correcting performance and is less computationally expensive as compared to BPD. However SCDs suffer from long latency and low throughput due to the serial nature of the successive cancellation algorithm. BPD is parallel in nature and hence is more attractive for high throughput applications. However since it is iterative in nature, the required latency and energy dissipation increases linearly with the number of iterations. In this work, we borrow the idea of SCD and propose a novel scheme based on sub-factor-graph freezing to reduce the average number of computations as well as the average number of iterations required by BPD, which directly translates into lower latency and energy dissipation. Simulation results show that the proposed scheme has no performance degradation and achieves significant reduction in computation complexity over the existing methods.

Connected through hyperedge HE-1 (induced by source paper "on path memory in list successive cancellation decoder of polar codes"):
  with members:
    - "fast and flexible successive cancellation list decoders for polar codes"
    - "a low latency list successive cancellation decoding implementation for polar codes"
    - "a high throughput list decoder architecture for polar codes"
    - "symbol decision successive cancellation list decoder for polar codes"
    - "llr based successive cancellation list decoding of polar codes"
    - "list decoding of polar codes"
    - "an adaptive successive cancellation list decoder for polar codes with cyclic redundancy check"

Connected through hyperedge HE-2 (induced by source paper "comparison of polar decoders with existing low density parity check and turbo decoders"):
  with members:
    - "fast low complexity decoders for low rate polar codes"
    - "llr based successive cancellation list decoder for polar codes with multibit decision"
    - "partitioned successive cancellation list decoding of polar codes"
    - "multi mode unrolled architectures for polar decoders"
    - "a high throughput list decoder architecture for polar codes"
    - "hardware decoders for polar codes an overview"
    - "fast list decoders for polar codes"
    - "symbol decision successive cancellation list decoder for polar codes"

Connected through hyperedge HE-3 (induced by source paper "hardware decoders for polar codes an overview"):
  with members:
    - "symbol decision successive cancellation list decoder for polar codes"
    - "237 gbit s unrolled hardware polar decoder"
    - "on metric sorting for successive cancellation list decoding of polar codes"
    - "llr based successive cancellation list decoding of polar codes"
    - "unrolled polar decoders part i hardware architectures"
    - "low latency list decoding of polar codes with double thresholding"
    - "fast polar decoders algorithm and implementation"
    - "a reduced latency list decoding algorithm for 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)