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: "faster multiplication for long binary polynomials"
  Abstract: We set new speed records for multiplying long polynomials over finite fields of characteristic two. Our multiplication algorithm is based on an additive FFT (Fast Fourier Transform) by Lin, Chung, and Huang in 2014 comparing to previously best results based on multiplicative FFTs. Both methods have similar complexity for arithmetic operations on underlying finite field; however, our implementation shows that the additive FFT has less overhead. For further optimization, we employ a tower field construction because the multipliers in the additive FFT naturally fall into small subfields, which leads to speed-ups using table-lookup instructions in modern CPUs. Benchmarks show that our method saves about $40 \%$ computing time when multiplying polynomials of $2^{28}$ and $2^{29}$ bits comparing to previous multiplicative FFT implementations.

Connected through hyperedge HE-1 (induced by source paper "fast hermite interpolation and evaluation over finite fields of characteristic two"):
  with members:
    - "fast transforms over finite fields of characteristic two"
    - "faster integer and polynomial multiplication using cyclotomic coefficient rings"
    - "fast systematic encoding of multiplicity codes"
    - "some remarks on multiplicity codes"
    - "a storage efficient and robust private information retrieval scheme allowing few servers"
    - "novel polynomial basis and its application to reed solomon erasure codes"
    - "faster polynomial multiplication over finite fields"
    - "an in place truncated fourier transform and applications to polynomial multiplication"

Connected through hyperedge HE-2 (induced by source paper "fast transforms over finite fields of characteristic two"):
  with members:
    - "fast hermite interpolation and evaluation over finite fields of characteristic two"
    - "multiplying boolean polynomials with frobenius partitions in additive fast fourier transform"
    - "frobenius additive fast fourier transform"
    - "fast systematic encoding of multiplicity codes"
    - "novel polynomial basis and its application to reed solomon erasure codes"
    - "a cache friendly truncated fft"

Connected through hyperedge HE-3 (induced by source paper "frobenius additive fast fourier transform"):
  with members:
    - "fft algorithm for binary extension finite fields and its application to reed solomon codes"
    - "novel polynomial basis and its application to reed solomon erasure codes"
    - "faster polynomial multiplication over finite fields"

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.SC(Symbolic Computation)