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: "info clustering a mathematical theory for data clustering"
  Abstract: We formulate an info-clustering paradigm based on a multivariate mutual information measure that naturally extends Shannon’s mutual information between two random variables to the multivariate case involving more than two random variables. With proper model reductions, we show that the paradigm can be applied to study the human genome and connectome in a more meaningful way than the conventional algorithmic approach. Not only can it provide justifications and refinements to some existing techniques, but it also inspires new computationally feasible solutions.

Connected through hyperedge HE-1 (induced by source paper "secret key agreement for hypergraphical sources with limited total discussion"):
  with members:
    - "multiterminal secret key agreement with nearly no discussion"
    - "one shot perfect secret key agreement for finite linear sources"
    - "secrecy capacity under limited discussion rate for minimally connected hypergraphical sources"
    - "upper bounds via lamination on the constrained secrecy capacity of hypergraphical sources"
    - "multiterminal secret key agreement at asymptotically zero discussion rate"
    - "secret key agreement under discussion rate constraints"
    - "compressed secret key agreement maximizing multivariate mutual information per bit"
    - "on the optimality of secret key agreement via omniscience"

Connected through hyperedge HE-2 (induced by source paper "multiterminal secret key agreement with nearly no discussion"):
  with members:
    - "upper bounds via lamination on the constrained secrecy capacity of hypergraphical sources"
    - "multiterminal secret key agreement at asymptotically zero discussion rate"
    - "secret key agreement under discussion rate constraints"
    - "compressed secret key agreement maximizing multivariate mutual information per bit"
    - "on the optimality of secret key agreement via omniscience"
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "secret key generation with limited interaction"
    - "incremental and decremental secret key agreement"

Connected through hyperedge HE-3 (induced by source paper "part i improving computational efficiency of communication for omniscience"):
  with members:
    - "part ii a practical approach for successive omniscience"
    - "improving computational efficiency of communication for omniscience and successive omniscience"
    - "secret key agreement under discussion rate constraints"
    - "a faster algorithm for asymptotic communication for omniscience"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "efficient algorithms for the data exchange problem"
    - "coded cooperative data exchange in multihop networks"
    - "perfect omniscience perfect secrecy and steiner tree packing"

Connected through hyperedge HE-4 (induced by source paper "secret key generation for minimally connected hypergraphical sources"):
  with members:
    - "secrecy capacity under limited discussion rate for minimally connected hypergraphical sources"
    - "upper bounds via lamination on the constrained secrecy capacity of hypergraphical sources"
    - "secret key agreement under discussion rate constraints"
    - "on the optimality of secret key agreement via omniscience"
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "secret key generation with limited interaction"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "coded cooperative data exchange for a secret key"

Connected through hyperedge HE-5 (induced by source paper "compressed secret key agreement maximizing multivariate mutual information per bit"):
  with members:
    - "secret key agreement under discussion rate constraints"
    - "opening the black box of deep neural networks via information"
    - "on the optimality of secret key agreement via omniscience"
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "duality between feature selection and data clustering"
    - "a lattice coding scheme for secret key generation from gaussian markov tree sources"
    - "common randomness and key generation with limited interaction"
    - "incremental and decremental secret key agreement"

Connected through hyperedge HE-6 (induced by source paper "on the optimality of secret key agreement via omniscience"):
  with members:
    - "secret key agreement under discussion rate constraints"
    - "compressed secret key agreement maximizing multivariate mutual information per bit"
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "duality between feature selection and data clustering"
    - "incremental and decremental secret key agreement"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "the communication complexity of achieving sk capacity in a class of pin models"
    - "achieving sk capacity in the source model when must all terminals talk"

Connected through hyperedge HE-7 (induced by source paper "universal joint image clustering and registration using partition information"):
  with members:
    - "bispectrum inversion with application to multireference alignment"
    - "sample complexity of the boolean multireference alignment problem"
    - "universal clustering via crowdsourcing"
    - "fundamental limits in multi image alignment"

Connected through hyperedge HE-8 (induced by source paper "agglomerative info clustering"):
  with members:
    - "duality between feature selection and data clustering"
    - "minimax rates of entropy estimation on large alphabets via best polynomial approximation"
    - "on tightness of mutual dependence upperbound for secret key capacity of multiple terminals"

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)