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: "a new and improved algorithm for online bin packing"
  Abstract: We revisit the classic online bin packing problem. In this problem, items of positive sizes no larger than 1 are presented one by one to be packed into subsets called "bins" of total sizes no larger than 1, such that every item is assigned to a bin before the next item is presented. We use online partitioning of items into classes based on sizes, as in previous work, but we also apply a new method where items of one class can be packed into more than two types of bins, where a bin type is defined according to the number of such items grouped together. Additionally, we allow the smallest class of items to be packed in multiple kinds of bins, and not only into their own bins. We combine this with the approach of packing of sufficiently big items according to their exact sizes. Finally, we simplify the analysis of such algorithms, allowing the analysis to be based on the most standard weight functions. This simplified analysis allows us to study the algorithm which we defined based on all these ideas. This leads us to the design and analysis of the first algorithm of asymptotic competitive ratio strictly below 1.58, specifically, we break this barrier and provide an algorithm AH (Advanced Harmonic) whose asymptotic competitive ratio does not exceed 1.5783.

Connected through hyperedge HE-1 (induced by source paper "streaming algorithms for bin packing and vector scheduling"):
  with members:
    - "tight lower bound for comparison based quantile summaries"
    - "fully dynamic bin packing with limited repacking"
    - "optimal quantile approximation in streams"
    - "closing the gap for makespan scheduling via sparsification techniques"
    - "a logarithmic additive integrality gap for bin packing"
    - "tight bounds for online vector scheduling"
    - "polynomiality for bin packing with a constant number of item types"
    - "on the optimality of approximation schemes for the classical scheduling problem"

Connected through hyperedge HE-2 (induced by source paper "online bin covering with advice"):
  with members:
    - "a new lower bound for classic online bin packing"
    - "a simple ptas for the dual bin packing problem and advice complexity of its online version"
    - "on the power of advice and randomization for online bipartite matching"
    - "randomization can be as helpful as a glimpse of the future in online computation"
    - "a logarithmic additive integrality gap for bin packing"
    - "online algorithms with advice for bin packing and scheduling problems"
    - "approximating bin packing within o log opt log log opt bins"
    - "online bin packing with advice"

Connected through hyperedge HE-3 (induced by source paper "parallel online algorithms for the bin packing problem"):
  with members:
    - "a new lower bound for classic online bin packing"
    - "beating the harmonic lower bound for online bin packing"
    - "online algorithms with advice for bin packing and scheduling problems"
    - "on the list update problem with advice"
    - "online makespan minimization with parallel schedules"
    - "online bin packing with advice"

Connected through hyperedge HE-4 (induced by source paper "online computation with untrusted advice"):
  with members:
    - "competitive caching with machine learned advice"
    - "a new lower bound for classic online bin packing"
    - "randomization can be as helpful as a glimpse of the future in online computation"
    - "online algorithms with advice for bin packing and scheduling problems"
    - "online bin packing with advice"

Connected through hyperedge HE-5 (induced by source paper "on bin packing with clustering and bin packing with delays"):
  with members:
    - "a new lower bound for classic online bin packing"
    - "online service with delay"
    - "a match in time saves nine deterministic online matching with delays"
    - "online matching haste makes waste"

Connected through hyperedge HE-6 (induced by source paper "a lower bound for online rectangle packing"):
  with members:
    - "a new lower bound for classic online bin packing"
    - "lower bounds for several online variants of bin packing"
    - "online bin packing with cardinality constraints resolved"
    - "improved lower bounds for online hypercube and rectangle packing"
    - "beating the harmonic lower bound for online bin packing"

Connected through hyperedge HE-7 (induced by source paper "a new lower bound for classic online bin packing"):
  with members:
    - "online bin packing with cardinality constraints resolved"
    - "beating the harmonic lower bound for online bin packing"

Connected through hyperedge HE-8 (induced by source paper "fully dynamic bin packing with limited repacking"):
  with members:
    - "a tight approximation for fully dynamic bin packing without bundling"
    - "beating the harmonic lower bound for online bin packing"
    - "a logarithmic additive integrality gap for bin packing"
    - "fully dynamic bin packing revisited"
    - "a robust afptas for online bin packing with polynomial migration"

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)