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 optimal linear decision trees for k sum and related problems"
  Abstract: We construct near optimal linear decision trees for a variety of decision problems in combinatorics and discrete geometry. For example, for any constant $k$, we construct linear decision trees that solve the $k$-SUM problem on $n$ elements using $O(n \log^2 n)$ linear queries. Moreover, the queries we use are comparison queries, which compare the sums of two $k$-subsets; when viewed as linear queries, comparison queries are $2k$-sparse and have only $\{-1,0,1\}$ coefficients. We give similar constructions for sorting sumsets $A+B$ and for solving the SUBSET-SUM problem, both with optimal number of queries, up to poly-logarithmic terms. #R##N#Our constructions are based on the notion of "inference dimension", recently introduced by the authors in the context of active classification with comparison queries. This can be viewed as another contribution to the fruitful link between machine learning and discrete geometry, which goes back to the discovery of the VC dimension.

Connected through hyperedge HE-1 (induced by source paper "all non trivial variants of 3 ldt are equivalent"):
  with members:
    - "the strong 3sum indexing conjecture is false"
    - "3sum with preprocessing algorithms lower bounds and cryptographic applications"
    - "how hard is it to find honest witnesses"
    - "improved bounds for 3sum k sum and linear degeneracy"
    - "clustered integer 3sum via additive combinatorics"
    - "threesomes degenerates and love triangles"
    - "on hardness of jumbled indexing"
    - "higher lower bounds from the 3sum conjecture"

Connected through hyperedge HE-2 (induced by source paper "a novel and efficient algorithm to solve subset sum problem"):
  with members:
    - "deterministic time space tradeoffs for k sum"

Connected through hyperedge HE-3 (induced by source paper "querying a matrix through matrix vector products"):
  with members:
    - "tight query complexity lower bounds for pca via finite sample deformed wigner law"
    - "improved algorithms for adaptive compressed sensing"
    - "testing matrix rank optimally"
    - "on estimating maximum matching size in graph streams"
    - "embeddings of schatten norms with applications to data streams"
    - "on approximating functions of the singular values in a stream"
    - "matrix norms in data streams faster multi pass and row order"
    - "approximately counting triangles in sublinear time"

Connected through hyperedge HE-4 (induced by source paper "approximately counting and sampling small witnesses using a colourful decision oracle"):
  with members:
    - "counting answers to existential questions"
    - "zeros of holant problems locations and algorithms"
    - "more consequences of falsifying seth and the orthogonal vectors conjecture"
    - "fine grained reductions from approximate counting to decision"
    - "edge estimation with independent set oracles"
    - "the hardness of embedding grids and walls"
    - "randomised enumeration of small witnesses using a decision oracle"
    - "the challenges of unbounded treewidth in parameterised subgraph counting problems"

Connected through hyperedge HE-5 (induced by source paper "3sum with preprocessing algorithms lower bounds and cryptographic applications"):
  with members:
    - "encoding 3sum"
    - "static data structure lower bounds imply rigidity"
    - "conditional lower bounds for space time tradeoffs"
    - "orthogonal vectors indexing"
    - "clustered integer 3sum via additive combinatorics"
    - "threesomes degenerates and love triangles"
    - "on hardness of jumbled indexing"
    - "higher lower bounds from the 3sum conjecture"

Connected through hyperedge HE-6 (induced by source paper "the power of comparisons for actively learning linear classifiers"):
  with members:
    - "generalized comparison trees for point location problems"
    - "active classification with comparison queries"
    - "conspiracies between learning algorithms circuit lower bounds and pseudorandomness"
    - "efficient learning of linear separators under bounded noise"
    - "active and passive learning of linear separators under log concave distributions"
    - "adaptively learning the crowd kernel"

Connected through hyperedge HE-7 (induced by source paper "encoding 3sum"):
  with members:
    - "threesomes degenerates and love triangles"

Connected through hyperedge HE-8 (induced by source paper "on nondeterministic derandomization of freivalds algorithm consequences avenues and algorithmic progress"):
  with members:
    - "error correction in fast matrix multiplication and inverse"
    - "strong eth breaks with merlin and arthur short non interactive proofs of batch evaluation"
    - "threesomes degenerates and love triangles"
    - "powers of tensors and fast matrix multiplication"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "3sum 3xor triangles"
    - "faster all pairs shortest paths via circuit complexity"
    - "deterministic algorithms for skewed matrix products"

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.CG(Computational Geometry)