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: "computing the diameter polynomially faster than apsp"
  Abstract: We present a new randomized algorithm for computing the diameter of a weighted directed graph. The algorithm runs in $\Ot(M^{\w/(\w+1)}n^{(\w^2+3)/(\w+1)})$ time, where $\w < 2.376$ is the exponent of fast matrix multiplication, $n$ is the number of vertices of the graph, and the edge weights are integers in $\{-M,...,0,...,M\}$. For bounded integer weights the running time is $O(n^{2.561})$ and if $\w=2+o(1)$ it is $\Ot(n^{7/3})$. This is the first algorithm that computes the diameter of an integer weighted directed graph polynomially faster than any known All-Pairs Shortest Paths (APSP) algorithm. For bounded integer weights, the fastest algorithm for APSP runs in $O(n^{2.575})$ time for the present value of $\w$ and runs in $\Ot(n^{2.5})$ time if $\w=2+o(1)$. #R##N#For directed graphs with {\em positive} integer weights in $\{1,...,M\}$ we obtain a deterministic algorithm that computes the diameter in $\Ot(Mn^\w)$ time. This extends a simple $\Ot(n^\w)$ algorithm for computing the diameter of an {\em unweighted} directed graph to the positive integer weighted setting and is the first algorithm in this setting whose time complexity matches that of the fastest known Diameter algorithm for {\em undirected} graphs. #R##N#The diameter algorithms are consequences of a more general result. We construct algorithms that for any given integer $d$, report all ordered pairs of vertices having distance {\em at most} $d$. The diameter can therefore be computed using binary search for the smallest $d$ for which all pairs are reported.

Connected through hyperedge HE-1 (induced by source paper "on analyzing and evaluating privacy measures for social networks under active attack"):
  with members:
    - "privacy preserving machine learning through data obfuscation"
    - "ml leaks model and data independent membership inference attacks and defenses on machine learning models"
    - "motifs in temporal networks"
    - "on optimal approximability results for computing the strong metric dimension"
    - "on the computational complexities of three privacy measures for large networks under active attack"

Connected through hyperedge HE-2 (induced by source paper "approximation algorithms for min distance problems"):
  with members:
    - "towards tight approximation bounds for graph diameter and eccentricities"
    - "faster all pairs shortest paths via circuit complexity"
    - "approximating the diameter of planar graphs in near linear time"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-3 (induced by source paper "approximation and fixed parameter subquadratic algorithms for radius and diameter"):
  with members:
    - "on problems as hard as cnf sat"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "quadratic time hardness of lcs and other sequence similarity measures"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "into the square on the complexity of quadratic time solvable problems"
    - "computing classic closeness centrality at scale"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-4 (induced by source paper "time optimal interactive proofs for circuit evaluation"):
  with members:
    - "arthur merlin streaming complexity"
    - "verifiable computation with massively parallel interactive proofs"
    - "practical verified computation with streaming interactive proofs"
    - "verifying computations with streaming interactive proofs"
    - "streaming graph computations with a helpful advisor"

Connected through hyperedge HE-5 (induced by source paper "algorithmic applications of baur strassen s theorem shortest cycles diameter and matchings"):
  with members:
    - "minimum weight cycles and triangles equivalences and algorithms"
    - "determinant sums for undirected hamiltonicity"
    - "all pairs shortest paths using bridging sets and rectangular matrix multiplication"

Connected through hyperedge HE-6 (induced by source paper "faster algorithms for rectangular matrix multiplication"):
  with members:
    - "all pairs shortest paths using bridging sets and rectangular matrix multiplication"

Connected through hyperedge HE-7 (induced by source paper "practical verified computation with streaming interactive proofs"):
  with members:
    - "on the communication complexity of sparse set disjointness and exists equal problems"
    - "arthur merlin streaming complexity"
    - "time optimal interactive proofs for circuit evaluation"
    - "verifying computations with streaming interactive proofs"
    - "on arthur merlin games in communication complexity"
    - "streaming graph computations with a helpful advisor"
    - "weighted matching in the semi streaming model"
    - "straggler identification in round trip data streams via newton s identities and invertible bloom filters"

Connected through hyperedge HE-8 (induced by source paper "streaming graph computations with a helpful advisor"):
  with members:
    - "highly robust error correction by convex programming"

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)