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: "round and message optimal distributed part wise aggregation"
  Abstract: Distributed graph algorithms that separately optimize for either the number of rounds used or the total number of messages sent have been studied extensively. However, algorithms simultaneously efficient with respect to both measures have been elusive for a long time. For example, only very recently was it shown that for Minimum Spanning Tree (MST), an optimal message and round complexity is achievable (up to polylog terms) by a single algorithm in the CONGEST model of communication. #R##N#In this paper we provide algorithms that are simultaneously round-optimal with near-linear message complexities for a number of well-studied distributed optimization problems. Our algorithmic centerpiece is such a distributed algorithm that solves what we dub Part-Wise Aggregation: computing simple functions over each part of a graph partition. From this algorithm we derive round-optimal algorithms for MST, Approximate Min-Cut and Approximate Single Source Shortest Paths (SSSP), all with $\tilde{O}(m)$ message complexities. On general graphs all of our algorithms achieve a worst-case optimal $\tilde{O}(D+\sqrt n)$ round complexities and $\tilde{O}(m)$ message complexities. #R##N#Furthermore, our algorithms require even fewer rounds on many widely-studied classes of graphs, namely planar, genus-bounded, treewidth-bounded and pathwidth-bounded graphs. For these graphs our algorithms require an optimal $\tilde{O}(D)$ rounds and $\tilde{O}(m)$ messages. Our results are the first instance of distributed algorithms with $\tilde{O}(m)$ message complexities for Approximate Min-Cut and Approximate SSSP. Moreover, our algorithms are the first algorithms for any of these problems that beat the general graph round lower bound of $\tilde{\Omega}(D + \sqrt{n})$ on graph families of interest and simultaneously achieve an $\tilde{O}(m)$ message complexity.

Connected through hyperedge HE-1 (induced by source paper "low congestion cycle covers and their applications"):
  with members:
    - "property testing of planarity in the congest model"
    - "minor excluded network families admit fast distributed algorithms"
    - "distributed treewidth computation"
    - "faster distributed shortest path approximations via shortcuts"
    - "low congestion shortcuts without embedding"
    - "the adversarial noise threshold for distributed protocols"
    - "minimum weight cycle covers and their approximability"

Connected through hyperedge HE-2 (induced by source paper "parallel graph connectivity in log diameter rounds"):
  with members:
    - "parallel algorithms for geometric graph problems"
    - "fast clustering using mapreduce"

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)