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: "multicommodity flows and cuts in polymatroidal networks"
  Abstract: We consider multicommodity flow and cut problems in {\em polymatroidal} networks where there are submodular capacity constraints on the edges incident to a node. Polymatroidal networks were introduced by Lawler and Martel and Hassin in the single-commodity setting and are closely related to the submodular flow model of Edmonds and Giles; the well-known maxflow-mincut theorem holds in this more general setting. Polymatroidal networks for the multicommodity case have not, as far as the authors are aware, been previously explored. Our work is primarily motivated by applications to information flow in wireless networks. We also consider the notion of undirected polymatroidal networks and observe that they provide a natural way to generalize flows and cuts in edge and node capacitated undirected networks. #R##N#We establish poly-logarithmic flow-cut gap results in several scenarios that have been previously considered in the standard network flow models where capacities are on the edges or nodes. Our results have already found aplications in wireless network information flow and we anticipate more in the future. On the technical side our key tools are the formulation and analysis of the dual of the flow relaxations via continuous extensions of submodular functions, in particular the Lov\'asz extension. For directed graphs we rely on a simple yet useful reduction from polymatroidal networks to standard networks. For undirected graphs we rely on the interplay between the Lov\'asz extension of a submodular function and line embeddings with low average distortion introduced by Matousek and Rabinovich; this connection is inspired by, and generalizes, the work of Feige, Hajiaghayi and Lee on node-capacitated multicommodity flows and cuts. The applicability of embeddings to polymatroidal networks is of independent mathematical interest.

Connected through hyperedge HE-1 (induced by source paper "online energy harvesting problem over an arbitrary directed acyclic graph network"):
  with members:
    - "optimal offline and competitive online strategies for transmitter receiver energy harvesting"
    - "online energy efficient packet scheduling for a common deadline with and without energy harvesting"
    - "near optimal energy control and approximate capacity of energy harvesting communication"
    - "competitive ratio analysis of online algorithms to minimize data transmission time in energy harvesting communication system"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"
    - "optimal packet scheduling in an energy harvesting communication system"

Connected through hyperedge HE-2 (induced by source paper "simple and fast rounding algorithms for directed and node weighted multiway cut"):
  with members:
    - "computing the k nearest neighbors for all vertices via dijkstra"
    - "local distribution and the symmetry gap approximability of multiway partitioning problems"
    - "multiway cut pairwise realizable distributions and descending thresholds"
    - "approximation algorithms for submodular multiway partition"
    - "submodular cost allocation problem and applications"
    - "faster approximation schemes for fractional multicommodity flow problems via dynamic graph algorithms"
    - "rounding algorithms for a geometric embedding of minimum multiway cut"
    - "randomized rounding without solving the linear program"

Connected through hyperedge HE-3 (induced by source paper "cooperative regenerating codes"):
  with members:
    - "optimal locally repairable codes via rank metric codes"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"
    - "codes with local regeneration"
    - "exact scalar minimum storage coordinated regenerating codes"
    - "optimal linear codes with a local error correction property"
    - "exact cooperative regenerating codes with minimum repair bandwidth for distributed storage"
    - "cross mbcr exact minimum bandwith coordinated regenerating codes"
    - "minimum cost multicast with decentralized sources"

Connected through hyperedge HE-4 (induced by source paper "near optimal quantization and linear network coding for relay networks"):
  with members:
    - "an algebraic approach to physical layer network coding"
    - "expansion coding achieving the capacity of an aen channel"
    - "capacity of multiple unicast in wireless networks a polymatroidal approach"
    - "wireless network information flow a deterministic approach"
    - "low complexity near optimal codes for gaussian relay networks"
    - "binary error correcting network codes"
    - "a digital interface for gaussian relay and interference networks lifting codes from the discrete superposition model"
    - "approximately achieving gaussian relay network capacity with lattice codes"

Connected through hyperedge HE-5 (induced by source paper "capacity of multiple unicast in wireless networks a polymatroidal approach"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "multiuser broadcast erasure channel with feedback capacity and algorithms"
    - "degrees of freedom of interference channels with comp transmission and reception"
    - "wireless network information flow a deterministic approach"
    - "computation alignment capacity approximation without noise accumulation"
    - "the degrees of freedom of the 2 hop 2 user interference channel with feedback"
    - "a digital interface for gaussian relay and interference networks lifting codes from the discrete superposition model"
    - "completely stale transmitter channel state information is still very useful"

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.DS(Data Structures and Algorithms)