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: "the two unicast problem"
  Abstract: We consider the communication capacity of wireline networks for a two-unicast traffic pattern. The network has two sources and two destinations with each source communicating a message to its own destination, subject to the capacity constraints on the directed edges of the network. We propose a simple outer bound for the problem that we call the Generalized Network Sharing (GNS) bound. We show this bound is the tightest edge-cut bound for two-unicast networks and is tight in several bottleneck cases, though it is not tight in general. We also show that the problem of computing the GNS bound is NP-complete. Finally, we show that despite its seeming simplicity, the two-unicast problem is as hard as the most general network coding problem. As a consequence, linear coding is insufficient to achieve capacity for general two-unicast networks, and non-Shannon inequalities are necessary for characterizing capacity of general two-unicast networks.

Connected through hyperedge HE-1 (induced by source paper "capacity and achievable rate regions for linear network coding over ring alphabets"):
  with members:
    - "linear network coding over rings part ii vector codes and non commutative alphabets"
    - "linear network coding over rings part i scalar codes and commutative alphabets"
    - "a class of non linearly solvable networks"
    - "on vector linear solvability of multicast networks"
    - "on achievability of an r l fractional linear network code"
    - "characteristic dependent linear rank inequalities with applications to network coding"
    - "achievable rate regions for network coding"
    - "on the multiple unicast capacity of 3 source 3 terminal directed acyclic networks"

Connected through hyperedge HE-2 (induced by source paper "linear network coding for two unicast z networks a commutative algebraic perspective and fundamental limits"):
  with members:
    - "alignment based network coding for two unicast z networks"
    - "topological interference management through index coding"
    - "fundamental limits of caching"
    - "an equivalence between network coding and index coding"
    - "locally repairable codes"
    - "two unicast information flows over linear deterministic networks"
    - "path gain algebraic formulation for the scalar linear network coding problem"
    - "mission impossible computing the network coding capacity region"

Connected through hyperedge HE-3 (induced by source paper "optimization based linear network coding for general connections of continuous flows"):
  with members:
    - "a linear network code construction for general integer connections based on the constraint satisfaction problem"
    - "on multi source networks enumeration rate region computation and hierarchy"
    - "decentralized constraint satisfaction"
    - "index coding an interference alignment perspective"
    - "scalar linear solvability of matroidal networks associated with representable matroids"
    - "optimal reverse carpooling over wireless networks a distributed optimization approach"
    - "on the index coding problem and its relation to network coding and matroid theory"
    - "minimum cost multicast over coded packet networks"

Connected through hyperedge HE-4 (induced by source paper "a linear network code construction for general integer connections based on the constraint satisfaction problem"):
  with members:
    - "on multi source networks enumeration rate region computation and hierarchy"
    - "precoding based network alignment for three unicast sessions"
    - "achievable rate regions for network coding"
    - "index coding an interference alignment perspective"
    - "computing bounds on network capacity regions as a polytope reconstruction problem"
    - "scalar linear solvability of matroidal networks associated with representable matroids"
    - "on the index coding problem and its relation to network coding and matroid theory"

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)