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: "mantaining dynamic matrices for fully dynamic transitive closure"
  Abstract: In this paper we introduce a general framework for casting fully dynamic transitive closure into the problem of reevaluating polynomials over matrices. With this technique, we improve the best known bounds for fully dynamic transitive closure. In particular, we devise a deterministic algorithm for general directed graphs that achieves $O(n^2)$ amortized time for updates, while preserving unit worst-case cost for queries. In case of deletions only, our algorithm performs updates faster in O(n) amortized time. #R##N#Our matrix-based approach yields an algorithm for directed acyclic graphs that breaks through the $O(n^2)$ barrier on the single-operation complexity of fully dynamic transitive closure. We can answer queries in $O(n^\epsilon)$ time and perform updates in $O(n^{\omega(1,\epsilon,1)-\epsilon}+n^{1+\epsilon})$ time, for any $\epsilon\in[0,1]$, where $\omega(1,\epsilon,1)$ is the exponent of the multiplication of an $n\times n^{\epsilon}$ matrix by an $n^{\epsilon}\times n$ matrix. The current best bounds on $\omega(1,\epsilon,1)$ imply an $O(n^{0.58})$ query time and an $O(n^{1.58})$ update time. Our subquadratic algorithm is randomized, and has one-side error.

Connected through hyperedge HE-1 (induced by source paper "faster fully dynamic transitive closure in practice"):
  with members:
    - "dynamic matrix inverse improved algorithms and matching conditional lower bounds"
    - "fully dynamic single source reachability in practice an experimental study"
    - "snap a general purpose network analysis and graph mining library"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"

Connected through hyperedge HE-2 (induced by source paper "decremental spqr trees for planar graphs"):
  with members:
    - "dynamic planar embeddings of dynamic graphs"
    - "decremental single source reachability in planar digraphs"
    - "dynamic minimum spanning forest with subpolynomial worst case update time"
    - "fully dynamic maximal matching in constant update time"
    - "popular conjectures as a barrier for dynamic planar graph algorithms"
    - "fully dynamic minimum spanning forest with improved worst case update time"
    - "faster worst case deterministic dynamic connectivity"
    - "popular conjectures imply strong lower bounds for dynamic problems"

Connected through hyperedge HE-3 (induced by source paper "simple dynamic algorithms for maximal independent set and other problems"):
  with members:
    - "fully dynamic mis in uniformly sparse graphs"
    - "fully dynamic maximal independent set with sublinear update time"
    - "fully dynamic approximate maximum matching and minimum vertex cover in o log 3 n worst case update time"
    - "dynamic minimum spanning forest with subpolynomial worst case update time"
    - "fully dynamic maximal matching in constant update time"
    - "on the hardness of partially dynamic graph problems and connections to diameter"
    - "feedback from nature simple randomised distributed algorithms for maximal independent set selection and greedy colouring"
    - "an improved distributed algorithm for maximal independent set"

Connected through hyperedge HE-4 (induced by source paper "decremental single source reachability in planar digraphs"):
  with members:
    - "faster algorithms for computing maximal 2 connected subgraphs in sparse directed graphs"
    - "improved bounds for shortest paths in dense distance graphs"
    - "fully dynamic maximal matching in constant update time"
    - "popular conjectures as a barrier for dynamic planar graph algorithms"
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "improved algorithms for decremental single source reachability on directed graphs"
    - "sublinear time decremental algorithms for single source reachability and shortest paths on directed graphs"
    - "popular conjectures imply strong lower bounds for dynamic problems"

Connected through hyperedge HE-5 (induced by source paper "incremental 2 edge connectivity in directed graphs"):
  with members:
    - "an experimental study of dynamic dominators"
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "finding dominators via disjoint set union"
    - "a new approach to incremental cycle detection and related problems"

Connected through hyperedge HE-6 (induced by source paper "flow and context sensitive points to analysis using generalized points to graphs"):
  with members:
    - "interprocedural data flow analysis in soot using value contexts"

Connected through hyperedge HE-7 (induced by source paper "scoring and searching over bayesian networks with causal and associative priors"):
  with members:
    - "learning bayesian networks the combination of knowledge and statistical data"
    - "causal inference and causal explanation with background knowledge"
    - "theory refinement on bayesian networks"
    - "incorporating causal prior knowledge as path constraints in bayesian networks and maximal ancestral graphs"

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)