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: "product matrix msr codes with bandwidth adaptive exact repair"
  Abstract: In a distributed storage systems (DSS) with $k$ systematic nodes, robustness against node failure is commonly provided by storing redundancy in a number of other nodes and performing repair mechanism to reproduce the content of the failed nodes. Efficiency is then achieved by minimizing the storage overhead and the amount of data transmission required for data reconstruction and repair, provided by coding solutions such as regenerating codes [1]. Common explicit regenerating code constructions enable efficient repair through accessing a predefined number, $d$, of arbitrary chosen available nodes, namely helpers. In practice, however, the state of the system dynamically changes based on the request load, the link traffic, etc., and the parameters which optimize system's performance vary accordingly. It is then desirable to have coding schemes which are able to operate optimally under a range of different parameters simultaneously. Specifically, adaptivity in the number of helper nodes for repair is of interest. While robustness requires capability of performing repair with small number of helpers, it is desirable to use as many helpers as available to reduce the transmission delay and total repair traffic. #R##N#In this work we focus on the minimum storage regenerating (MSR) codes, where each node is supposed to store $\alpha$ information units, and the source data of size $k\alpha$ could be recovered from any arbitrary set of $k$ nodes. We introduce a class MSR codes that realize optimal repair bandwidth simultaneously with a set of different choices for the number of helpers, namely $D=\{d_{1}, \cdots, d_{\delta}\}$. Our coding scheme follows the Product Matrix (PM) framework introduced in [2], and could be considered as a generalization of the PM MSR code presented in [2], such that any $d_{i} = (i+1)(k-1)$ helpers can perform an optimal repair. ...

Connected through hyperedge HE-1 (induced by source paper "convertible codes efficient conversion of coded data in distributed storage"):
  with members:
    - "an exponential lower bound on the sub packetization of msr codes"
    - "combinatorial alphabet dependent bounds for locally recoverable codes"
    - "capacity of locally recoverable codes"
    - "a layered architecture for erasure coded consistent distributed storage"
    - "bandwidth adaptive error resilient mbr exact repair regenerating codes"
    - "the storage vs repair bandwidth trade off for multiple failures in clustered storage networks"
    - "locally recoverable codes from algebraic curves and surfaces"
    - "a tight lower bound on the sub packetization level of optimal access msr and mds codes"

Connected through hyperedge HE-2 (induced by source paper "cascade codes for distributed storage systems"):
  with members:
    - "a generic transformation to enable optimal repair in mds codes for distributed storage systems"
    - "determinant codes with helper independent repair for single and multiple failures"
    - "a class of msr codes for clustered distributed storage"
    - "bandwidth adaptive error resilient mbr exact repair regenerating codes"
    - "a tight lower bound on the sub packetization level of optimal access msr and mds codes"
    - "capacity of clustered distributed storage"
    - "progress on high rate msr codes enabling arbitrary number of helper nodes"
    - "minimum storage regenerating codes for all parameters"

Connected through hyperedge HE-3 (induced by source paper "network traffic driven storage repair"):
  with members:
    - "repair duality with locally repairable and locally regenerating codes"
    - "improved schemes for asymptotically optimal repair of mds codes"
    - "ldpc code design for distributed storage balancing repair bandwidth reliability and storage overhead"
    - "codes with unequal locality"
    - "minimum storage regenerating codes for all parameters"
    - "general sub packetized access optimal regenerating codes"
    - "hashtag erasure codes from theory to practice"
    - "balanced locally repairable codes"

Connected through hyperedge HE-4 (induced by source paper "bandwidth adaptive error resilient mbr exact repair regenerating codes"):
  with members:
    - "product matrix minimum storage regenerating codes with flexible number of helpers"
    - "mds codes with progressive engagement property for cloud storage systems"
    - "explicit constructions of high rate mds array codes with optimal repair bandwidth"
    - "on mbr codes with replication"
    - "explicit constructions of optimal access mds codes with nearly optimal sub packetization"
    - "information theoretically secure erasure codes for distributed storage"
    - "beyond the mds bound in distributed cloud storage"
    - "optimal construction of regenerating code through rate matching in hostile networks"

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)