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: "approximate shortest paths avoiding a failed vertex optimal size data structures for unweighted graph"
  Abstract: Let $G=(V,E)$ be any undirected graph on $V$ vertices and $E$ edges. A path $\textbf{P}$ between any two vertices $u,v\in V$ is said to be $t$-approximate shortest path if its length is at most $t$ times the length of the shortest path between $u$ and $v$. We consider the problem of building a compact data structure for a given graph $G$ which is capable of answering the following query for any $u,v,z\in V$ and $t>1$: #R##N#Report $t$-approximate shortest path between $u$ and $v$ when vertex $z$ fails #R##N#We present data structures for the single source as well all-pairs versions of this problem. Our data structures guarantee optimal query time. Most impressive feature of our data structures is that their size {\em nearly} match the size of their best static counterparts.

Connected through hyperedge HE-1 (induced by source paper "generic single edge fault tolerant exact distance oracle"):
  with members:
    - "multiple source dual fault tolerant bfs trees"
    - "multiple edge fault tolerant approximate shortest path trees"
    - "dynamic dfs in undirected graphs breaking the o m barrier"
    - "compact and fast sensitivity oracles for single source distances"
    - "dual failure resilient bfs structure"
    - "sparse fault tolerant bfs trees"
    - "faster replacement paths"

Connected through hyperedge HE-2 (induced by source paper "an efficient strongly connected components algorithm in the fault tolerant model"):
  with members:
    - "preserving distances in very faulty graphs"
    - "multiple source dual fault tolerant bfs trees"
    - "connectivity oracles for graphs subject to vertex failures"
    - "multiple edge fault tolerant approximate shortest path trees"
    - "compact and fast sensitivity oracles for single source distances"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "dual failure resilient bfs structure"
    - "improved algorithms for decremental single source reachability on directed graphs"

Connected through hyperedge HE-3 (induced by source paper "incremental and fully dynamic subgraph connectivity for emergency planning"):
  with members:
    - "dynamic dfs in undirected graphs breaking the o m barrier"
    - "dynamic graph connectivity with improved worst case update time and sublinear space"
    - "faster worst case deterministic dynamic connectivity"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "faster deterministic fully dynamic graph connectivity"

Connected through hyperedge HE-4 (induced by source paper "improved distance sensitivity oracles via tree partitioning"):
  with members:
    - "fully dynamic all pairs shortest paths with worst case update time revisited"
    - "sublinear time decremental algorithms for single source reachability and shortest paths on directed graphs"
    - "dynamic approximate all pairs shortest paths breaking the o mn barrier and derandomization"

Connected through hyperedge HE-5 (induced by source paper "fault tolerant approximate bfs structures"):
  with members:
    - "preserving distances in very faulty graphs"
    - "the 4 3 additive spanner exponent is tight"
    - "improved purely additive fault tolerant spanners"
    - "fault tolerant approximate shortest path trees"
    - "vertex fault tolerant additive spanners"
    - "sparse fault tolerant bfs trees"
    - "on pairwise spanners"
    - "fault tolerant spanners better and simpler"

Connected through hyperedge HE-6 (induced by source paper "vertex fault tolerant additive spanners"):
  with members:
    - "additive spanners a simple construction"
    - "fault tolerant approximate shortest path trees"
    - "fault tolerant approximate bfs structures"
    - "sparse fault tolerant bfs trees"
    - "on pairwise spanners"
    - "fault tolerant spanners better and simpler"

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)