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: "self adjusting binary search trees what makes them tick"
  Abstract: Splay trees (Sleator and Tarjan) satisfy the so-called access lemma. Many of the nice properties of splay trees follow from it. What makes self-adjusting binary search trees (BSTs) satisfy the access lemma? After each access, self-adjusting BSTs replace the search path by a tree on the same set of nodes (the after-tree). We identify two simple combinatorial properties of the search path and the after-tree that imply the access lemma. Our main result (i) implies the access lemma for all minimally self-adjusting BST algorithms for which it was known to hold: splay trees and their generalization to the class of local algorithms (Subramanian, Georgakopoulos and Mc-Clurkin), as well as Greedy BST, introduced by Demaine et al. and shown to satisfy the access lemma by Fox, (ii) implies that BST algorithms based on "strict" depth-halving satisfy the access lemma, addressing an open question that was raised several times since 1985, and (iii) yields an extremely short proof for the O(log n log log n) amortized access cost for the path-balance heuristic (proposed by Sleator), matching the best known bound (Balasubramanian and Raman) to a lower-order factor. #R##N#One of our combinatorial properties is locality. We show that any BST-algorithm that satisfies the access lemma via the sum-of-log (SOL) potential is necessarily local. The other property states that the sum of the number of leaves of the after-tree plus the number of side alternations in the search path must be at least a constant fraction of the length of the search path. We show that a weak form of this property is necessary for sequential access to be linear.

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"
    - "the landscape of bounds for binary search trees"
    - "a linear potential function for pairing heaps"
    - "a study on splay trees"
    - "pattern avoiding access in binary search trees"
    - "combining binary search trees"
    - "in pursuit of the dynamic optimality conjecture"

Connected through hyperedge HE-2 (induced by source paper "competitive online search trees on trees"):
  with members:
    - "weighted dynamic finger in binary search trees"
    - "on the tree search problem with non uniform costs"
    - "deterministic and probabilistic binary search in graphs"
    - "the power and limitations of static binary search trees with lazy finger"
    - "in pursuit of the dynamic optimality conjecture"
    - "searching in dynamic tree like partial orders"

Connected through hyperedge HE-3 (induced by source paper "pattern avoiding access in binary search trees"):
  with members:
    - "greedy is an almost optimal deque"
    - "combining binary search trees"
    - "the computational landscape of permutation patterns"
    - "in pursuit of the dynamic optimality conjecture"
    - "upper bounds for maximally greedy binary search trees"
    - "improved bounds and new techniques for davenport schinzel sequences and their generalizations"
    - "splay trees davenport schinzel sequences and the deque conjecture"

Connected through hyperedge HE-4 (induced by source paper "a study on splay trees"):
  with members:
    - "new paths from splay to dynamic optimality"
    - "combining binary search trees"
    - "in pursuit of the dynamic optimality conjecture"
    - "the fresh finger property"
    - "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)