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: "competitive paging algorithms"
  Abstract: The paging problem is that of deciding which pages to keep in a memory of k pages in order to minimize the number of page faults. We develop the marking algorithm, a randomized on-line algorithm for the paging problem. We prove that its expected cost on any sequence of requests is within a factor of 2Hk of optimum. (Where Hk is the kth harmonic number, which is roughly In k.) The best such factor that can be achieved is Hk. This is in contrast to deterministic algorithms, which cannot be guaranteed to be within a factor smaller than k of optimum. An alternative to comparing an on-line algorithm with the optimum off-line algorithm is the idea of comparing it to several other on-line algorithms. We have obtained results along these lines for the paging problem. Given a set of on-line algorithms ‘Support was provided by a Weizmann fellowship. ‘Partial support was provided by the International Computer Science Institute, Berkeley, CA, and by NSF Grant CCR-8411954. 3Support was provided by the International Computer Science Institute and operating grant A8092 of the Natural Sciences and Engineering Research Council of Canada. Current

Connected through hyperedge HE-1 (induced by source paper "online metric algorithms with untrusted predictions"):
  with members:
    - "scheduling with predictions and the price of misprediction"
    - "near optimal bounds for online caching with machine learned advice"
    - "competitive ratio versus regret minimization achieving the best of both worlds"
    - "online computation with untrusted advice"
    - "optimal analysis of an online algorithm for the bipartite matching problem on a line"
    - "competitive caching with machine learned advice"
    - "the case for learned index structures"
    - "revenue optimization with approximate bid predictions"

Connected through hyperedge HE-2 (induced by source paper "expected linear round synchronization the missing link for linear byzantine smr"):
  with members:
    - "cogsworth byzantine view synchronization"
    - "threshold logical clocks for asynchronous distributed coordination and consensus"
    - "the latest gossip on bft consensus"
    - "sbft a scalable and decentralized trust infrastructure"

Connected through hyperedge HE-3 (induced by source paper "competitive ratio versus regret minimization achieving the best of both worlds"):
  with members:
    - "online learning over a finite action set with limited switching"
    - "k server via multiscale entropic regularization"
    - "a tale of two metrics simultaneous bounds on competitiveness and regret"
    - "online optimization competing with dynamic comparators"
    - "strongly adaptive online learning"
    - "the computational power of optimization in online learning"
    - "achieving all with no parameters adaptive normalhedge"
    - "an improved approximation for k median and positive correlation in budgeted optimization"

Connected through hyperedge HE-4 (induced by source paper "renets toward statically optimal self adjusting networks"):
  with members:
    - "slim fly a cost effective low diameter network topology"
    - "datacenter traffic control understanding techniques and tradeoffs"
    - "toward demand aware networking a theory for self adjusting networks"
    - "demand aware network designs of bounded degree"
    - "online balanced repartitioning"
    - "high throughput data center topology design"
    - "jellyfish networking data centers randomly"

Connected through hyperedge HE-5 (induced by source paper "automating distributed tiered storage management in cluster computing"):
  with members:
    - "competitive caching with machine learned advice"
    - "reca an efficient reconfigurable cache architecture for storage systems with online workload characterization"
    - "a unified approach to interpreting model predictions"
    - "xgboost a scalable tree boosting system"
    - "why should i trust you explaining the predictions of any classifier"
    - "compacting transactional data in hybrid oltp olap databases"
    - "interactive analytical processing in big data systems a cross industry study of mapreduce workloads"

Connected through hyperedge HE-6 (induced by source paper "near optimal bounds for online caching with machine learned advice"):
  with members:
    - "scheduling with predictions and the price of misprediction"
    - "competitive caching with machine learned advice"
    - "the case for learned index structures"
    - "revenue optimization with approximate bid predictions"
    - "average case analysis of online topological ordering"
    - "smoothed analysis of algorithms why the simplex algorithm usually takes polynomial time"

Connected through hyperedge HE-7 (induced by source paper "efficient distributed workload re embedding"):
  with members:
    - "datacenter traffic control understanding techniques and tradeoffs"
    - "toward demand aware networking a theory for self adjusting networks"
    - "online balanced repartitioning"
    - "dynamic balanced graph partitioning"
    - "online companion caching"

Connected through hyperedge HE-8 (induced by source paper "unbounded lower bound for k server against weak adversaries"):
  with members:
    - "the infinite server problem"
    - "fusible hsts and the randomized k server conjecture"
    - "the h k server problem on bounded depth trees"
    - "ramsey type theorems for metric spaces with applications to online problems"
    - "the k server dual and loose competitiveness for paging"

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)