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: "on the weight distribution of fixed rate raptor codes"
  Abstract: In this paper Raptor code ensembles with linear random precodes in a fixed-rate setting are considered. An expression for the average distance spectrum is derived and this expression is used to obtain the asymptotic exponent of the weight distribution. The asymptotic growth rate analysis is then exploited to develop a necessary and sufficient condition under which the fixed-rate Raptor code ensemble exhibits a strictly positive typical minimum distance.

Connected through hyperedge HE-1 (induced by source paper "bounds on the error probability of raptor codes under maximum likelihood decoding"):
  with members:
    - "fountain codes under maximum likelihood decoding"
    - "bounds on the error probability of raptor codes"
    - "distance spectrum of fixed rate raptor codes with linear random precoders"
    - "inactivation decoding analysis for lt codes"
    - "lt code design for inactivation decoding"

Connected through hyperedge HE-2 (induced by source paper "bounds on the error probability of raptor codes"):
  with members:
    - "distance spectrum of fixed rate raptor codes with linear random precoders"
    - "inactivation decoding analysis for lt codes"
    - "lt code design for inactivation decoding"

Connected through hyperedge HE-3 (induced by source paper "distance spectrum of fixed rate raptor codes with linear random precoders"):
  with members:
    - "performance analysis of raptor codes under maximum likelihood ml decoding"
    - "protograph based raptor like ldpc codes"
    - "lt code design for inactivation decoding"

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)