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: "virtual network embedding approximations leveraging randomized rounding"
  Abstract: The Virtual Network Embedding Problem (VNEP) captures the essence of many resource allocation problems of today's Cloud Providers, which offer their physical computation and networking resources to customers. Customers request resources in the form of Virtual Networks, i.e. as a directed graph, specifying computational requirements at the nodes and bandwidth requirements on the edges. An embedding of a Virtual Network on the shared physical infrastructure is the joint mapping of (virtual) nodes to \emph{suitable} physical servers together with the mapping of (virtual) edges onto paths in the physical network connecting the respective servers. We study the offline setting of the VNEP in which multiple requests are given and the task is to find the most profitable set of requests to embed while not exceeding the physical resource capacities. #R##N#This paper initiates the study of approximation algorithms for the VNEP by employing randomized rounding of Linear Programming solutions. We show that the standard Linear Programming formulation exhibits an inherent structural deficit, yielding large (or even infinite) integrality gaps. In turn, focusing on the class of cactus graphs for virtual networks, we devise a novel Linear Programming formulation together with an algorithm to decompose fractional solutions into convex combinations of valid embeddings. Applying randomized rounding, we obtain the first tri-criteria approximation algorithm in the classic resource augmentation model.

Connected through hyperedge HE-1 (induced by source paper "joint wireless and edge computing resource management with dynamic network slice selection"):
  with members:
    - "decentralized computation offloading game for mobile cloud computing"
    - "efficient multi user computation offloading for mobile edge cloud computing"

Connected through hyperedge HE-2 (induced by source paper "np completeness and inapproximability of the virtual network embedding problem and its variants"):
  with members:
    - "fpt approximation algorithms for the virtual network embedding problem"
    - "an approximation algorithm for path computation and function placement in sdns"
    - "specifying and placing chains of virtual network functions"
    - "competitive and deterministic embeddings of virtual networks"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-3 (induced by source paper "toward demand aware networking a theory for self adjusting networks"):
  with members:
    - "datacenter traffic control understanding techniques and tradeoffs"
    - "repetita repeatable experiments for performance evaluation of traffic engineering algorithms"
    - "demand aware network designs of bounded degree"
    - "concurrent self adjusting distributed tree networks"
    - "online balanced repartitioning"

Connected through hyperedge HE-4 (induced by source paper "multi commodity flow with in network processing"):
  with members:
    - "approximate and incremental network function placement"
    - "an approximation algorithm for path computation and function placement in sdns"
    - "accelerating the development of software defined network optimization applications using sol"
    - "analytical approach to parallel repetition"

Connected through hyperedge HE-5 (induced by source paper "fpt approximation algorithms for the virtual network embedding problem"):
  with members:
    - "np completeness and inapproximability of the virtual network embedding problem and its variants"
    - "service chain and virtual network embeddings approximations using randomized rounding"
    - "merlin a language for provisioning network resources"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-6 (induced by source paper "walking through waypoints"):
  with members:
    - "approximate and incremental network function placement"
    - "an approximation algorithm for path computation and function placement in sdns"
    - "new algorithms for maximum disjoint paths based on tree likeness"
    - "service chain and virtual network embeddings approximations using randomized rounding"
    - "online admission control and embedding of service chains"
    - "on routing disjoint paths in bounded treewidth graphs"
    - "vertex disjoint path in upward planar graphs"
    - "the planar directed k vertex disjoint paths problem is fixed parameter tractable"

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.NI(Networking and Internet Architecture)