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: "lower bounds for local approximation"
  Abstract: In the study of deterministic distributed algorithms, it is commonly assumed that each node has a unique O(log n)-bit identifier. We prove that for a general class of graph problems, local algorithms (constant-time distributed algorithms) do not need such identifiers: a port numbering and orientation is sufficient.   Our result holds for so-called simple PO-checkable graph optimisation problems; this includes many classical packing and covering problems such as vertex covers, edge covers, matchings, independent sets, dominating sets, and edge dominating sets. We focus on the case of bounded-degree graphs and show that if a local algorithm finds a constant-factor approximation of a simple PO-checkable graph problem with the help of unique identifiers, then the same approximation ratio can be achieved on anonymous networks.   As a corollary of our result, we derive a tight lower bound on the local approximability of the minimum edge dominating set problem. By prior work, there is a deterministic local algorithm that achieves the approximation factor of 4--1/⌊Δ/2⌋ in graphs of maximum degree Δ. This approximation ratio is known to be optimal in the port-numbering model—our main theorem implies that it is optimal also in the standard model in which each node has a unique identifier.   Our main technical tool is an algebraic construction of homogeneously ordered graphs: We say that a graph is (α,r)-homogeneous if its nodes are linearly ordered so that an α fraction of nodes have pairwise isomorphic radius-r neighbourhoods. We show that there exists a finite (α,r)-homogeneous 2k-regular graph of girth at least g for any α

Connected through hyperedge HE-1 (induced by source paper "a breezing proof of the kmw bound"):
  with members:
    - "lower bounds for maximal matchings and maximal independent sets"
    - "the complexity of distributed edge coloring with small palettes"
    - "on the complexity of local distributed graph problems"
    - "a hierarchy of local decision"
    - "a lower bound for the distributed lov asz local lemma"
    - "local computation lower and upper bounds"

Connected through hyperedge HE-2 (induced by source paper "weak models of distributed computing with connections to modal logic"):
  with members:
    - "beeping a maximal independent set"
    - "stone age distributed computing"
    - "almost stable matchings by truncating the gale shapley algorithm"
    - "local algorithms in weakly coloured graphs"
    - "deploying wireless networks with beeps"
    - "an optimal local approximation algorithm for max min linear programs"
    - "a simple local 3 approximation algorithm for vertex cover"
    - "local approximation algorithms for a class of 0 1 max min linear programs"

Connected through hyperedge HE-3 (induced by source paper "node labels in local decision"):
  with members:
    - "weak models of distributed computing with connections to modal logic"
    - "what can be decided locally without identifiers"
    - "on the impact of identifiers on local decision"
    - "local distributed decision"

Connected through hyperedge HE-4 (induced by source paper "no sublogarithmic time approximation scheme for bipartite vertex cover"):
  with members:
    - "local algorithms in weakly coloured graphs"
    - "local computation lower and upper bounds"

Connected through hyperedge HE-5 (induced by source paper "what can be decided locally without identifiers"):
  with members:
    - "fast and compact self stabilizing verification computation and fault detection of an mst"
    - "toward more localized local algorithms removing assumptions concerning global knowledge"
    - "randomized distributed decision"
    - "on the impact of identifiers on local decision"
    - "decidability classes for mobile agents computing"
    - "distributed verification and hardness of distributed approximation"
    - "local distributed decision"

Connected through hyperedge HE-6 (induced by source paper "linear in delta lower bounds in the local model"):
  with members:
    - "no sublogarithmic time approximation scheme for bipartite vertex cover"
    - "distributed maximal matching greedy is optimal"
    - "the locality of distributed symmetry breaking"
    - "local computation lower and upper bounds"

Connected through hyperedge HE-7 (induced by source paper "on the impact of identifiers on local decision"):
  with members:
    - "fast and compact self stabilizing verification computation and fault detection of an mst"
    - "toward more localized local algorithms removing assumptions concerning global knowledge"
    - "randomized distributed decision"
    - "decidability classes for mobile agents computing"
    - "distributed verification and hardness of distributed approximation"
    - "local distributed decision"
    - "distributed delta 1 coloring in linear in delta time"

Connected through hyperedge HE-8 (induced by source paper "distributed maximal matching greedy is optimal"):
  with members:
    - "local computation lower and upper bounds"

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)