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: "decentralized constraint satisfaction"
  Abstract: We show that several important resource allocation problems in wireless networks fit within the common framework of constraint satisfaction problems (CSPs). Inspired by the requirements of these applications, where variables are located at distinct network devices that may not be able to communicate but may interfere, we define natural criteria that a CSP solver must possess in order to be practical. We term these algorithms decentralized CSP solvers. The best known CSP solvers were designed for centralized problems and do not meet these criteria. We introduce a stochastic decentralized CSP solver, proving that it will find a solution in almost surely finite time, should one exist, and also showing it has many practically desirable properties. We benchmark the algorithm's performance on a well-studied class of CSPs, random k-SAT, illustrating that the time the algorithm takes to find a satisfying assignment is competitive with stochastic centralized solvers on problems with order a thousand variables despite its decentralized nature. We demonstrate the solver's practical utility for the problems that motivated its introduction by using it to find a noninterfering channel allocation for a network formed from data from downtown Manhattan.

Connected through hyperedge HE-1 (induced by source paper "on a decentralized delta 1 graph coloring algorithm"):
  with members:
    - "constant time dynamic delta 1 coloring and weight approximation for minimum spanning forest dynamic algorithms meet property testing"
    - "dynamic algorithms for graph coloring"
    - "a constructive proof of the general lovasz local lemma"

Connected through hyperedge HE-2 (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"
    - "the two unicast problem"
    - "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-3 (induced by source paper "fast responsive decentralised graph colouring"):
  with members:
    - "learning based constraint satisfaction with sensing restrictions"
    - "decentralised learning macs for collision free access in wlans"
    - "towards a collision free wlan dynamic parameter adjustment in csma e2ca"

Connected through hyperedge HE-4 (induced by source paper "updating neighbour cell list via crowdsourced user reports a framework for measuring time performance"):
  with members:
    - "learning based constraint satisfaction with sensing restrictions"

Connected through hyperedge HE-5 (induced by source paper "future evolution of csma protocols for the ieee 802 11 standard"):
  with members:
    - "learning based constraint satisfaction with sensing restrictions"
    - "decentralised learning macs for collision free access in wlans"
    - "on the distributed construction of a collision free schedule in multi hop packet radio networks"
    - "modelling a decentralized constraint satisfaction solver for collision free channel access"
    - "towards a collision free wlan dynamic parameter adjustment in csma e2ca"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

Connected through hyperedge HE-6 (induced by source paper "on the distributed construction of a collision free schedule in wlans"):
  with members:
    - "decentralised learning macs for collision free access in wlans"
    - "towards a collision free wlan dynamic parameter adjustment in csma e2ca"

Connected through hyperedge HE-7 (induced by source paper "learning based constraint satisfaction with sensing restrictions"):
  with members:
    - "decentralised learning macs for collision free access in wlans"
    - "towards a collision free wlan dynamic parameter adjustment in csma e2ca"

Connected through hyperedge HE-8 (induced by source paper "on the distributed construction of a collision free schedule in multi hop packet radio networks"):
  with members:
    - "decentralised learning macs for collision free access in wlans"
    - "towards a collision free wlan dynamic parameter adjustment in csma e2ca"

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)