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: "dynamic integer sets with optimal rank select and predecessor search"
  Abstract: We present a data structure representing a dynamic set S of w-bit integers on a w-bit word RAM. With |S|=n and w > log n and space O(n), we support the following standard operations in O(log n / log w) time: #R##N#- insert(x) sets S = S + {x}. - delete(x) sets S = S - {x}. - predecessor(x) returns max{y in S | y = x}. - rank(x) returns #{y in S | y< x}. - select(i) returns y in S with rank(y)=i, if any. #R##N#Our O(log n/log w) bound is optimal for dynamic rank and select, matching a lower bound of Fredman and Saks [STOC'89]. When the word length is large, our time bound is also optimal for dynamic predecessor, matching a static lower bound of Beame and Fich [STOC'99] whenever log n/log w=O(log w/loglog w). #R##N#Technically, the most interesting aspect of our data structure is that it supports all the above operations in constant time for sets of size n=w^{O(1)}. This resolves a main open problem of Ajtai, Komlos, and Fredman [FOCS'83]. Ajtai et al. presented such a data structure in Yao's abstract cell-probe model with w-bit cells/words, but pointed out that the functions used could not be implemented. As a partial solution to the problem, Fredman and Willard [STOC'90] introduced a fusion node that could handle queries in constant time, but used polynomial time on the updates. We call our small set data structure a dynamic fusion node as it does both queries and updates in constant time.

Connected through hyperedge HE-1 (induced by source paper "o log log n worst case local decoding and update efficiency for data compression"):
  with members:
    - "how to store a random walk"
    - "on locally decodable source coding"
    - "optimal dynamic sequence representations"

Connected through hyperedge HE-2 (induced by source paper "algorithms for similarity search and pseudorandomness"):
  with members:
    - "hardness of approximate nearest neighbor search"
    - "fast locality sensitive hashing for approximate near neighbor search"
    - "fast similarity sketching"
    - "embedjoin efficient edit similarity joins via embeddings"
    - "optimal densification for fast and accurate minwise hashing"
    - "parameter free locality sensitive hashing for spherical range reporting"
    - "scalable and robust set similarity join"
    - "fast cross polytope locality sensitive hashing"

Connected through hyperedge HE-3 (induced by source paper "fully dynamic space efficient dictionaries and filters with constant number of memory accesses"):
  with members:
    - "bloom filters adaptivity and the dictionary problem"
    - "adaptive cuckoo filters"
    - "fast scalable construction of minimal perfect hash functions"
    - "how to approximate a set without knowing its size in advance"
    - "don t thrash how to cache your hash on flash"
    - "the power of simple tabulation hashing"
    - "backyard cuckoo hashing constant worst case operations with a succinct representation"
    - "de amortized cuckoo hashing provable worst case performance and experimental results"

Connected through hyperedge HE-4 (induced by source paper "good r divisions imply optimal amortised decremental biconnectivity"):
  with members:
    - "contracting a planar graph efficiently"
    - "fully dynamic connectivity in o log n log log n 2 amortized expected time"
    - "faster worst case deterministic dynamic connectivity"
    - "structured recursive separator decompositions for planar graphs in linear time"
    - "separator theorems for minor free and shallow minor free graphs with applications"
    - "logarithmic lower bounds in the cell probe model"
    - "dynamic generators of topologically embedded graphs"

Connected through hyperedge HE-5 (induced by source paper "connectivity oracles for graphs subject to vertex failures"):
  with members:
    - "dynamic minimum spanning forest with subpolynomial worst case update time"
    - "improved algorithms for maintaining dfs tree in undirected graphs"
    - "fully dynamic connectivity in o log n log log n 2 amortized expected time"
    - "faster randomized worst case update time for dynamic subgraph connectivity"
    - "dynamic dfs in undirected graphs breaking the o m barrier"
    - "incremental and fully dynamic subgraph connectivity for emergency planning"
    - "faster online matrix vector multiplication"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"

Connected through hyperedge HE-6 (induced by source paper "succinct choice dictionaries"):
  with members:
    - "succinct representations of permutations and functions"
    - "succinct representations of dynamic strings"
    - "fully functional static and dynamic succinct trees"
    - "succinct indexable dictionaries with applications to encoding k ary trees prefix sums and multisets"
    - "logarithmic lower bounds in the cell probe model"
    - "dynamic ordered sets with exponential search trees"

Connected through hyperedge HE-7 (induced by source paper "minimal suffix and rotation of a substring in optimal time"):
  with members:
    - "optimal searching of gapped repeats in a word"
    - "lyndon words and short superstrings"

Connected through hyperedge HE-8 (induced by source paper "dynamic relative compression dynamic partial sums and substring concatenation"):
  with members:
    - "approximate range emptiness in constant time and optimal space"
    - "reference based genome compression"
    - "optimal dynamic sequence representations"
    - "relative lempel ziv factorization for efficient storage and retrieval of web collections"
    - "fully functional static and dynamic succinct trees"

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)