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: "communicating the sum of sources over a network"
  Abstract: We consider a network (that is capable of network coding) with a set of sources and terminals, where each terminal is interested in recovering the sum of the sources. Considering directed acyclic graphs with unit capacity edges and independent, unit-entropy sources, we show the rate region when (a) there are two sources and $n$ terminals, and (b) $n$ sources and two terminals. In these cases as long as there exists at least one path from each source to each terminal we demonstrate that there exists a valid assignment of coding vectors to the edges such that the terminals can recover the sum of the sources.

Connected through hyperedge HE-1 (induced by source paper "two way function computation"):
  with members:
    - "two way interference channel capacity how to have the cake and eat it too"
    - "feedback through overhearing"
    - "capacity of a post channel with and without feedback"
    - "perfect output feedback in the two user decentralized interference channel"
    - "computation in multicast networks function alignment and converse theorems"
    - "two way interference channels"
    - "on network coding for sum networks"
    - "two way networks when adaptation is useless"

Connected through hyperedge HE-2 (induced by source paper "zero error function computation on a directed acyclic network"):
  with members:
    - "improved upper bound on the network function computing capacity"
    - "on computation rates for arithmetic sum"
    - "sum networks from incidence structures construction and capacity analysis"
    - "upper bound on function computation in directed acyclic networks"
    - "on the multiple unicast capacity of 3 source 3 terminal directed acyclic networks"
    - "distributed function computation over a rooted directed tree"
    - "on network coding for sum networks"
    - "network coding for computing cut set bounds"

Connected through hyperedge HE-3 (induced by source paper "improved upper bound on the network function computing capacity"):
  with members:
    - "upper bound on function computation in directed acyclic networks"
    - "on network coding for sum networks"
    - "computing linear functions by linear coding over networks"
    - "network coding for computing cut set bounds"
    - "optimal function computation in directed and undirected graphs"
    - "linear codes target function classes and network computing capacity"
    - "on network functional compression"

Connected through hyperedge HE-4 (induced by source paper "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes"):
  with members:
    - "weight enumerators and higher support weights of maximally recoverable codes"
    - "on partial maximally recoverable and maximally recoverable codes"
    - "file updates under random arbitrary insertions and deletions"
    - "synchronizing edits in distributed storage networks"
    - "optimal locally repairable and secure codes for distributed storage systems"
    - "codes with locality for two erasures"
    - "fundamental limits on communication for oblivious updates in storage networks"
    - "explicit maximally recoverable codes with locality"

Connected through hyperedge HE-5 (induced by source paper "condense a reconfigurable knowledge acquisition architecture for future 5g iot"):
  with members:
    - "network coding as a service"
    - "photonic delay systems as machine learning implementations"
    - "software defined networking a comprehensive survey"
    - "communication efficient distributed optimization using an approximate newton type method"
    - "distributed function computation over a rooted directed tree"
    - "linear coding schemes for the distributed computation of subspaces"
    - "internet of things iot a vision architectural elements and future directions"
    - "on network coding for sum networks"

Connected through hyperedge HE-6 (induced by source paper "a fundamental tradeoff between computation and communication in distributed computing"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "coded computation over heterogeneous clusters"
    - "polynomial codes an optimal design for high dimensional coded matrix multiplication"
    - "coding for distributed fog computing"
    - "short dot computing large linear transforms distributedly using coded short dot products"
    - "communication aware computing for edge processing"
    - "how to optimally allocate resources for coded distributed computing"
    - "on heterogeneous coded distributed computing"

Connected through hyperedge HE-7 (induced by source paper "sum networks from incidence structures construction and capacity analysis"):
  with members:
    - "low subpacketization schemes for coded caching"
    - "sum networks from undirected graphs construction and capacity analysis"
    - "coded caching with low subpacketization levels"
    - "coded caching for networks with the resolvability property"
    - "capacity of sum networks for different message alphabets"
    - "upper bound on function computation in directed acyclic networks"
    - "fractional repetition codes with flexible repair from combinatorial designs"
    - "on the multiple unicast capacity of 3 source 3 terminal directed acyclic networks"

Connected through hyperedge HE-8 (induced by source paper "on computation rates for arithmetic sum"):
  with members:
    - "sum networks from undirected graphs construction and capacity analysis"
    - "capacity of sum networks for different message alphabets"
    - "upper bound on function computation in directed acyclic networks"
    - "on network coding for sum networks"
    - "network coding for computing cut set bounds"
    - "optimal function computation in directed and undirected graphs"

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)