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: "buyback problem approximate matroid intersection with cancellation costs"
  Abstract: In the buyback problem, an algorithm observes a sequence of bids and must decide whether to accept each bid at the moment it arrives, subject to some constraints on the set of accepted bids. Decisions to reject bids are irrevocable, whereas decisions to accept bids may be canceled at a cost that is a fixed fraction of the bid value. Previous to our work, deterministic and randomized algorithms were known when the constraint is a matroid constraint. We extend this and give a deterministic algorithm for the case when the constraint is an intersection of k matroid constraints. We further prove a matching lower bound on the competitive ratio for this problem. This problem has applications to banner advertisement, semi-streaming, routing, load balancing and other problems where preemption or cancellation of previous allocations is allowed.

Connected through hyperedge HE-1 (induced by source paper "online stochastic matching with edge arrivals"):
  with members:
    - "beating greedy for stochastic bipartite matching"
    - "online matching with general arrivals"
    - "prophet inequality for bipartite matching merits of being simple and non adaptive"
    - "tight competitive ratios of classic matching algorithms in the fully online model"
    - "how to match when all vertices arrive online"
    - "online matroid intersection beating half for random arrival"
    - "improved approximation algorithms for stochastic matching"
    - "improved bounds for online preemptive matching"

Connected through hyperedge HE-2 (induced by source paper "approximately stable matchings with general constraints"):
  with members:
    - "approximately stable matchings with budget constraints"
    - "near feasible stable matchings with budget constraints"

Connected through hyperedge HE-3 (induced by source paper "do less get more streaming submodular maximization with subsampling"):
  with members:
    - "streaming non monotone submodular maximization personalized video summarization on the fly"
    - "efficient streaming algorithms for submodular maximization with multi knapsack constraints"
    - "greed is good near optimal submodular maximization via greedy optimization"
    - "constrained submodular maximization via a non symmetric technique"
    - "constrained submodular maximization beyond 1 e"
    - "streaming algorithms for submodular function maximization"
    - "online submodular maximization with preemption"
    - "distributed submodular maximization"

Connected through hyperedge HE-4 (induced by source paper "prophets and secretaries with overbooking"):
  with members:
    - "think eternally improved algorithms for the temp secretary problem and extensions"
    - "combinatorial prophet inequalities"
    - "secretary problems with non uniform arrival order"
    - "building a good team secretary problems and the supermodular degree"
    - "combinatorial auctions via posted prices"
    - "advances on matroid secretary problems free order model and laminar case"
    - "bayesian combinatorial auctions expanding single buyer mechanisms to many buyers"
    - "secretary problems with convex costs"

Connected through hyperedge HE-5 (induced by source paper "online maximum matching with recourse"):
  with members:
    - "relaxing the irrevocability requirement for online graph algorithms"
    - "online bipartite matching with amortized o log 2 n replacements"
    - "online steiner tree with deletions"
    - "the power of deferral maintaining a constant competitive steiner tree online"
    - "improved bounds for online preemptive matching"

Connected through hyperedge HE-6 (induced by source paper "how to match when all vertices arrive online"):
  with members:
    - "on randomized algorithms for matching in the online preemptive model"
    - "ranking on arbitrary graphs rematch via continuous lp with monotone and boundary condition constraints"
    - "improved bounds for online preemptive matching"
    - "online vertex weighted bipartite matching and single bid budgeted allocations"

Connected through hyperedge HE-7 (induced by source paper "small space stream summary for matroid center"):
  with members:
    - "correlation clustering in data streams"
    - "streaming algorithms for submodular function maximization"
    - "submodular maximization meets streaming matchings matroids and more"

Connected through hyperedge HE-8 (induced by source paper "a 2 ϵ approximation for maximum weight matching in the semi streaming model"):
  with members:
    - "on estimating maximum matching size in graph streams"
    - "streaming weighted matchings optimal meets greedy"
    - "sublinear estimation of weighted matchings in dynamic data streams"
    - "maximum matching in turnstile streams"
    - "submodular maximization meets streaming matchings matroids and more"
    - "better bounds for matchings in the streaming model"
    - "improved approximation guarantees for weighted matching in the semi streaming model"
    - "weighted matching in the semi streaming model"

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.GT(Computer Science and Game Theory)