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: "on the list update problem with advice"
  Abstract: We study the online list update problem under the advice model of computation. Under this model, an online algorithm receives partial information about the unknown parts of the input in the form of some bits of advice generated by a benevolent offline oracle. We show that advice of linear size is required and sufficient for a deterministic algorithm to achieve an optimal solution or even a competitive ratio better than $15/14$. On the other hand, we show that surprisingly two bits of advice are sufficient to break the lower bound of $2$ on the competitive ratio of deterministic online algorithms and achieve a deterministic algorithm with a competitive ratio of $5/3$. In this upper-bound argument, the bits of advice determine the algorithm with smaller cost among three classical online algorithms, TIMESTAMP and two members of the MTF2 family of algorithms. We also show that MTF2 algorithms are $2.5$-competitive.

Connected through hyperedge HE-1 (induced by source paper "parallel online algorithms for the bin packing problem"):
  with members:
    - "a new lower bound for classic online bin packing"
    - "a new and improved algorithm for online bin packing"
    - "beating the harmonic lower bound for online bin packing"
    - "online algorithms with advice for bin packing and scheduling problems"
    - "online makespan minimization with parallel schedules"
    - "online bin packing with advice"

Connected through hyperedge HE-2 (induced by source paper "randomization can be as helpful as a glimpse of the future in online computation"):
  with members:
    - "on the power of advice and randomization for online bipartite matching"
    - "optimal online edge coloring of planar graphs with advice"
    - "online multi coloring with advice"
    - "online makespan minimization with parallel schedules"
    - "a competitive ratio approximation scheme for the k server problem in fixed finite metrics"
    - "on advice complexity of the k server problem under sparse metrics"
    - "a new approach to online scheduling approximating the optimal competitive ratio"
    - "online bin packing with advice"

Connected through hyperedge HE-3 (induced by source paper "the advice complexity of a class of hard online problems"):
  with members:
    - "online algorithms with advice for bin packing and scheduling problems"
    - "optimal online edge coloring of planar graphs with advice"
    - "on advice complexity of the k server problem under sparse metrics"
    - "online bin packing with advice"

Connected through hyperedge HE-4 (induced by source paper "optimal online edge coloring of planar graphs with advice"):
  with members:
    - "online algorithms with advice for bin packing and scheduling problems"
    - "online makespan minimization with parallel schedules"
    - "online bin packing with advice"

Connected through hyperedge HE-5 (induced by source paper "on advice complexity of the k server problem under sparse metrics"):
  with members:
    - "online bin packing with advice"

Connected through hyperedge HE-6 (induced by source paper "online bin packing with advice"):
  with members:
    - "online algorithms with advice for bin packing and scheduling problems"
    - "polynomiality for bin packing with a constant number of item types"

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)