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: "message passing for maximum weight independent set"
  Abstract: In this paper, we investigate the use of message-passing algorithms for the problem of finding the max-weight independent set (MWIS) in a graph. First, we study the performance of the classical loopy max-product belief propagation. We show that each fixed-point estimate of max product can be mapped in a natural way to an extreme point of the linear programming (LP) polytope associated with the MWIS problem. However, this extreme point may not be the one that maximizes the value of node weights; the particular extreme point at final convergence depends on the initialization of max product. We then show that if max product is started from the natural initialization of uninformative messages, it always solves the correct LP, if it converges. This result is obtained via a direct analysis of the iterative algorithm, and cannot be obtained by looking only at fixed points. The tightness of the LP relaxation is thus necessary for max-product optimality, but it is not sufficient. Motivated by this observation, we show that a simple modification of max product becomes gradient descent on (a smoothed version of) the dual of the LP, and converges to the dual optimum. We also develop a message-passing algorithm that recovers the primal MWIS solution from the output of the descent algorithm. We show that the MWIS estimate obtained using these two algorithms in conjunction is correct when the graph is bipartite and the MWIS is unique. Finally, we show that any problem of maximum a posteriori (MAP) estimation for probability distributions over finite domains can be reduced to an MWIS problem. We believe this reduction will yield new insights and algorithms for MAP estimation.

Connected through hyperedge HE-1 (induced by source paper "throughput optimal decentralized scheduling with single bit state feedback for a class of queueing systems"):
  with members:
    - "heavy traffic optimal resource allocation algorithms for cloud computing clusters"
    - "approaching throughput optimality in distributed csma scheduling algorithms with collisions"

Connected through hyperedge HE-2 (induced by source paper "cooperative caching in fog radio access networks a graph based approach"):
  with members:
    - "user preference learning based edge caching for fog radio access network"
    - "learning based caching in cloud aided wireless networks"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "fog computing based radio access networks issues and challenges"
    - "mobility aware caching in d2d networks"
    - "dynamic clustering and user association in wireless small cell networks with social considerations"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "content aware user clustering and caching in wireless small cell networks"

Connected through hyperedge HE-3 (induced by source paper "graph based cooperative caching in fog ran"):
  with members:
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "fog computing based radio access networks issues and challenges"
    - "dynamic clustering and user association in wireless small cell networks with social considerations"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"
    - "content aware user clustering and caching in wireless small cell networks"

Connected through hyperedge HE-4 (induced by source paper "a hybrid quantum classical paradigm to mitigate embedding costs in quantum annealing"):
  with members:
    - "dyngem deep embedding method for dynamic graphs"
    - "algorithm engineering for a quantum annealing platform"
    - "a ptas for the classical ising spin glass problem on the chimera graph structure"

Connected through hyperedge HE-5 (induced by source paper "collaborative spatial reuse in wireless networks via selfish multi armed bandits"):
  with members:
    - "implications of decentralized q learning resource allocation in wireless networks"
    - "breaking the interference barrier in dense wireless networks with interference alignment"
    - "ieee 802 11ax high efficiency wlans"
    - "joint channel selection and power control in infrastructureless wireless networks a multiplayer multiarmed bandit framework"
    - "channel selection for network assisted d2d communication via no regret bandit learning with calibrated forecasting"
    - "optimal rate sampling in 802 11 systems"
    - "further optimal regret bounds for thompson sampling"
    - "regret analysis of stochastic and nonstochastic multi armed bandit problems"

Connected through hyperedge HE-6 (induced by source paper "dynamic network control for confidential multi hop communications"):
  with members:
    - "on secure network coding with nonuniform or restricted wiretap sets"
    - "towards the secrecy capacity of the gaussian mimo wire tap channel the 2 2 1 channel"
    - "secure nested codes for type ii wiretap channels"

Connected through hyperedge HE-7 (induced by source paper "minimum weight perfect matching via blossom belief propagation"):
  with members:
    - "max product belief propagation for linear programming applications to combinatorial optimization"
    - "the cutting plane method is polynomial for perfect matchings"
    - "map estimation linear programming and belief propagation with convex free energies"
    - "complexity of inference in graphical models"
    - "belief propagation for weighted b matchings on arbitrary graphs and its relation to linear programs with integer solutions"
    - "belief propagation for min cost network flow convergence and correctness"
    - "max product for maximum weight matching convergence correctness and lp duality"

Connected through hyperedge HE-8 (induced by source paper "speeding up glauber dynamics for random generation of independent sets"):
  with members:
    - "fast mixing of parallel glauber dynamics and low delay csma scheduling"
    - "randomized scheduling algorithm for queueing networks"

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.AI(Artificial Intelligence)