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: "distributionally linearizable data structures"
  Abstract: Relaxed concurrent data structures have become increasingly popular, due to their scalability in graph processing and machine learning applications. Despite considerable interest, there exist families of natural, high performing randomized relaxed concurrent data structures, such as the popular MultiQueue pattern for implementing relaxed priority queue data structures, for which no guarantees are known in the concurrent setting. Our main contribution is in showing for the first time that, under a set of analytic assumptions, a family of relaxed concurrent data structures, including variants of MultiQueues, but also a new approximate counting algorithm we call the MultiCounter, provides strong probabilistic guarantees on the degree of relaxation with respect to the sequential specification, in arbitrary concurrent executions. We formalize these guarantees via a new correctness condition called distributional linearizability, tailored to concurrent implementations with randomized relaxations. Our result is based on a new analysis of an asynchronous variant of the classic power-of-two-choices load balancing algorithm, in which placement choices can be based on inconsistent, outdated information (this result may be of independent interest). We validate our results empirically, showing that the MultiCounter algorithm can implement scalable relaxed timestamps, which in turn can improve the performance of the classic TL2 transactional algorithm by up to 3 times, for some settings of parameters.

Connected through hyperedge HE-1 (induced by source paper "relaxed scheduling for scalable belief propagation"):
  with members:
    - "message scheduling for performant many core belief propagation"
    - "relaxed schedulers can efficiently parallelize iterative algorithms"
    - "theoretically efficient parallel graph algorithms can be fast and scalable"
    - "parallelism in randomized incremental algorithms"
    - "the power of choice in priority scheduling"
    - "the lock free k lsm relaxed priority queue"
    - "greedy sequential maximal independent set and matching are parallel on average"
    - "residual belief propagation informed scheduling for asynchronous message passing"

Connected through hyperedge HE-2 (induced by source paper "optimizing ordered graph algorithms with graphit"):
  with members:
    - "start late or finish early a distributed graph processing system with redundancy reduction"
    - "tiramisu a polyhedral compiler for expressing fast and portable code"
    - "gunrock gpu graph analytics"
    - "the gap benchmark suite"
    - "defining and evaluating network communities based on ground truth"

Connected through hyperedge HE-3 (induced by source paper "analysis and evaluation of non blocking interpolation search trees"):
  with members:
    - "reclaiming memory for lock free data structures there has to be a better way"
    - "analysis of concurrent lock free hash tries with constant time operations"
    - "reuse don t recycle transforming lock free algorithms that throw away descriptors"
    - "cache aware lock free concurrent hash tries"

Connected through hyperedge HE-4 (induced by source paper "adapting persistent data structures for concurrency and speculation"):
  with members:
    - "pam parallel augmented maps"
    - "pragmatic primitives for non blocking data structures"
    - "techniques for constructing efficient lock free data structures"
    - "a general technique for non blocking trees"
    - "non determinism in byzantine fault tolerant replication"
    - "well structured futures and cache locality"
    - "flat combining and the synchronization parallelism tradeoff"
    - "a critique of ansi sql isolation levels"

Connected through hyperedge HE-5 (induced by source paper "quantifiability concurrent correctness from first principles"):
  with members:
    - "specifying concurrent programs in separation logic morphisms and simulations"
    - "order out of chaos proving linearizability using local views"
    - "proving linearizability using forward simulations"
    - "benchmarking concurrent priority queues performance of k lsm and related data structures"
    - "the lock free k lsm relaxed priority queue"
    - "a dynamic elimination combining stack algorithm"

Connected through hyperedge HE-6 (induced by source paper "prioritygraph a unified programming model for optimizing ordered graph algorithms"):
  with members:
    - "start late or finish early a distributed graph processing system with redundancy reduction"
    - "gunrock gpu graph analytics"
    - "gunrock a high performance graph processing library on the gpu"
    - "the gap benchmark suite"
    - "defining and evaluating network communities based on ground truth"

Connected through hyperedge HE-7 (induced by source paper "fast concurrent data sketches"):
  with members:
    - "sketching linear classifiers over data streams"
    - "multiqueues simpler faster and better relaxed concurrent priority queues"
    - "all distances sketches revisited hip estimators for massive graphs analysis"
    - "linearizable implementations do not suffice for randomized distributed computation"

Connected through hyperedge HE-8 (induced by source paper "relaxed schedulers can efficiently parallelize iterative algorithms"):
  with members:
    - "parallelism in randomized incremental algorithms"
    - "the power of choice in priority scheduling"
    - "greedy sequential maximal independent set and matching are parallel on average"

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.DC(Distributed, Parallel, and Cluster Computing)