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: "the landscape of bounds for binary search trees"
  Abstract: Binary search trees (BSTs) with rotations can adapt to various kinds of structure in search sequences, achieving amortized access times substantially better than the Theta(log n) worst-case guarantee. Classical examples of structural properties include static optimality, sequential access, working set, key-independent optimality, and dynamic finger, all of which are now known to be achieved by the two famous online BST algorithms (Splay and Greedy). (...) #R##N#In this paper, we introduce novel properties that explain the efficiency of sequences not captured by any of the previously known properties, and which provide new barriers to the dynamic optimality conjecture. We also establish connections between various properties, old and new. For instance, we show the following. #R##N#(i) A tight bound of O(n log d) on the cost of Greedy for d-decomposable sequences. The result builds on the recent lazy finger result of Iacono and Langerman (SODA 2016). On the other hand, we show that lazy finger alone cannot explain the efficiency of pattern avoiding sequences even in some of the simplest cases. (ii) A hierarchy of bounds using multiple lazy fingers, addressing a recent question of Iacono and Langerman. (iii) The optimality of the Move-to-root heuristic in the key-independent setting introduced by Iacono (Algorithmica 2005). (iv) A new tool that allows combining any finite number of sound structural properties. As an application, we show an upper bound on the cost of a class of sequences that all known properties fail to capture. (v) The equivalence between two families of BST properties. The observation on which this connection is based was known before - we make it explicit, and apply it to classical BST properties. (...)

Connected through hyperedge HE-1 (induced by source paper "new paths from splay to dynamic optimality"):
  with members:
    - "splaying preorders and postorders"
    - "weighted dynamic finger in binary search trees"
    - "a linear potential function for pairing heaps"
    - "a study on splay trees"
    - "pattern avoiding access in binary search trees"
    - "self adjusting binary search trees what makes them tick"
    - "combining binary search trees"
    - "in pursuit of the dynamic optimality conjecture"

Connected through hyperedge HE-2 (induced by source paper "belga b trees"):
  with members:
    - "weighted dynamic finger in binary search trees"
    - "multi finger binary search trees"
    - "combining binary search trees"
    - "the power and limitations of static binary search trees with lazy finger"
    - "in pursuit of the dynamic optimality conjecture"
    - "the fresh finger property"
    - "worst case optimal tree layout in external memory"

Connected through hyperedge HE-3 (induced by source paper "smooth heaps and a dual view of self adjusting data structures"):
  with members:
    - "weighted dynamic finger in binary search trees"
    - "improved bounds for multipass pairing heaps and path balanced binary search trees"
    - "pairing heaps the forward variant"
    - "pattern avoiding access in binary search trees"
    - "greedy is an almost optimal deque"
    - "a back to basics empirical study of priority queues"
    - "a tight lower bound for decrease key in the pure heap model"
    - "finding small patterns in permutations in linear time"

Connected through hyperedge HE-4 (induced by source paper "push down trees optimal self adjusting complete trees"):
  with members:
    - "demand aware network designs of bounded degree"
    - "an o loglog n competitive binary search tree with optimal worst case access times"

Connected through hyperedge HE-5 (induced by source paper "better analysis of greedy binary search tree on decomposable sequences"):
  with members:
    - "weighted dynamic finger in binary search trees"
    - "pattern avoiding access in binary search trees"
    - "in pursuit of the dynamic optimality conjecture"
    - "upper bounds for maximally greedy binary search trees"
    - "splay trees davenport schinzel sequences and the deque conjecture"

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)