human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "a generalized cut set bound for deterministic multi flow networks and its applications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "capacity region of the symmetric injective k user deterministic interference channel")
  Member "bounding multiple unicasts through index coding and locally repairable codes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "embedded index coding")
  Member "on the multiple unicast capacity of 3 source 3 terminal directed acyclic networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "zero error function computation on a directed acyclic network")
  Member "a note on the multiple unicast capacity of directed acyclic networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the multiple unicast capacity of 3 source 3 terminal directed acyclic networks")
  Member "network coding is zero error always possible":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "lossless source coding in the point to point multiple access and random access scenarios")
  Member "two unicast information flows over linear deterministic networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the degrees of freedom of two unicast wireless networks with delayed csit")
  Member "an achievable region for the double unicast problem based on a minimum cut analysis":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "zero error function computation on a directed acyclic network")
  Member "network coding capacity a functional dependence bound":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a minimal set of shannon type inequalities for functional dependence structures")

Question: Please tell me which class the source paper 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)