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: "near linear work parallel sdd solvers low diameter decomposition and low stretch subgraphs"
  Abstract: We present the design and analysis of a near linear-work parallel algorithm for solving symmetric diagonally dominant (SDD) linear systems. On input of a SDD $n$-by-$n$ matrix $A$ with $m$ non-zero entries and a vector $b$, our algorithm computes a vector $\tilde{x}$ such that $\norm[A]{\tilde{x} - A^+b} \leq \vareps \cdot \norm[A]{A^+b}$ in $O(m\log^{O(1)}{n}\log{\frac1\epsilon})$ work and $O(m^{1/3+\theta}\log \frac1\epsilon)$ depth for any fixed $\theta > 0$. #R##N#The algorithm relies on a parallel algorithm for generating low-stretch spanning trees or spanning subgraphs. To this end, we first develop a parallel decomposition algorithm that in polylogarithmic depth and $\otilde(|E|)$ work, partitions a graph into components with polylogarithmic diameter such that only a small fraction of the original edges are between the components. This can be used to generate low-stretch spanning trees with average stretch $O(n^{\alpha})$ in $O(n^{1+\alpha})$ work and $O(n^{\alpha})$ depth. Alternatively, it can be used to generate spanning subgraphs with polylogarithmic average stretch in $\otilde(|E|)$ work and polylogarithmic depth. We apply this subgraph construction to derive a parallel linear system solver. By using this solver in known applications, our results imply improved parallel randomized algorithms for several problems, including single-source shortest paths, maximum flow, minimum-cost flow, and approximate maximum flow.

Connected through hyperedge HE-1 (induced by source paper "dynamic low stretch trees via dynamic low diameter decompositions"):
  with members:
    - "faster distributed shortest path approximations via shortcuts"
    - "expander decomposition and pruning faster stronger and simpler"
    - "a deamortization approach for dynamic spanner and dynamic maximal matching"
    - "dynamic minimum spanning forest with subpolynomial worst case update time"
    - "fully dynamic connectivity in o log n log log n 2 amortized expected time"
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "fully dynamic minimum spanning forest with improved worst case update time"
    - "on fully dynamic graph sparsifiers"

Connected through hyperedge HE-2 (induced by source paper "message reduction in the local model is a free lunch"):
  with members:
    - "time message trade offs in distributed algorithms"
    - "broadcast and minimum spanning tree with o m messages in the asynchronous congest model"
    - "distributed spanner approximation"
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "on the complexity of local distributed graph problems"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "construction and impromptu repair of an mst in a distributed network with o m communication"
    - "improved parallel algorithms for spanners and hopsets"

Connected through hyperedge HE-3 (induced by source paper "improved network decompositions using small messages with applications on mis neighborhood covers and beyond"):
  with members:
    - "deterministic distributed dominating set approximation in the congest model"
    - "distributed strong diameter network decomposition"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "an improved distributed algorithm for maximal independent set"
    - "parallel graph decompositions using random shifts"
    - "the locality of distributed symmetry breaking"
    - "on the locality of some np complete problems"

Connected through hyperedge HE-4 (induced by source paper "on the complexity of local distributed graph problems"):
  with members:
    - "polynomial lower bound for distributed graph coloring in a weak local model"
    - "distributed degree splitting edge coloring and orientations"
    - "distributed delta 1 coloring in sublogarithmic rounds"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "a hierarchy of local decision"
    - "distributed strong diameter network decomposition"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "local conflict coloring"

Connected through hyperedge HE-5 (induced by source paper "solving local linear systems with boundary conditions using heat kernel pagerank"):
  with members:
    - "computing heat kernel pagerank and a local clustering algorithm"
    - "an efficient parallel solver for sdd linear systems"
    - "efficient accelerated coordinate descent methods and faster algorithms for solving linear systems"
    - "a simple combinatorial algorithm for solving sdd systems in nearly linear time"
    - "matrix inversion is as easy as exponentiation"
    - "recovering low rank matrices from few coefficients in any basis"
    - "nearly linear time algorithms for graph partitioning graph sparsification and solving linear systems"

Connected through hyperedge HE-6 (induced by source paper "a fast distributed solver for symmetric diagonally dominant linear equations"):
  with members:
    - "solving systems of linear equations locally and asynchronously"
    - "approaching optimality for solving sdd systems"
    - "faster generation of random spanning trees"
    - "nearly linear time algorithms for preconditioning and solving symmetric diagonally dominant linear systems"
    - "solving elliptic finite element systems in near linear time with support preconditioners"

Connected through hyperedge HE-7 (induced by source paper "space and time efficient parallel graph decomposition clustering and diameter approximation"):
  with members:
    - "parallel graph decompositions using random shifts"
    - "space round tradeoffs for mapreduce computations"
    - "sorting searching and simulation in the mapreduce framework"
    - "fast clustering using mapreduce"
    - "hyperanf approximating the neighbourhood function of very large graphs on a budget"

Connected through hyperedge HE-8 (induced by source paper "an efficient parallel solver for sdd linear systems"):
  with members:
    - "efficient accelerated coordinate descent methods and faster algorithms for solving linear systems"
    - "a simple combinatorial algorithm for solving sdd systems in nearly linear time"
    - "navigating central path with electrical flows from flows to matchings and back"
    - "faster approximate multicommodity flow using quadratically coupled flows"
    - "faster spectral sparsification and numerical algorithms for sdd matrices"
    - "a nearly mlogn time solver for sdd linear systems"
    - "approximating the exponential the lanczos method and an tilde o m time spectral algorithm for balanced separator"
    - "towards an sdp based approach to spectral methods a nearly linear time algorithm for graph partitioning and decomposition"

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)